A B C D E F G H I J K L M N O P Q R S T U V W Y Z

A

abs(double) - Static method in class edu.cmu.minorthird.util.MathUtil

Absolute value function.

AbstractAnnotator - Class in edu.cmu.minorthird.text

Generic implementation of an annotator.

AbstractAnnotator() - Constructor for class edu.cmu.minorthird.text.AbstractAnnotator

AbstractBatchAnnotatorLearner - Class in edu.cmu.minorthird.text.learn

Learn an annotation model using a sequence dataset and some sort of batch learner.

AbstractBatchAnnotatorLearner() - Constructor for class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

AbstractBatchAnnotatorLearner(SpanFeatureExtractor, Extraction2TaggingReduction) - Constructor for class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

AbstractInstance - Class in edu.cmu.minorthird.classify

Common code for all instance implementations

AbstractInstance() - Constructor for class edu.cmu.minorthird.classify.AbstractInstance

AbstractInstanceTransform - Class in edu.cmu.minorthird.classify.transform

AbstractInstanceTransform() - Constructor for class edu.cmu.minorthird.classify.transform.AbstractInstanceTransform

AbstractLooper<T> - Class in edu.cmu.minorthird.util

AbstractLooper(Iterator<T>) - Constructor for class edu.cmu.minorthird.util.AbstractLooper

AbstractLooper(Collection<T>) - Constructor for class edu.cmu.minorthird.util.AbstractLooper

AbstractSpanFinder - Class in edu.cmu.minorthird.text

Abstract implementation of a SpanFinder.

AbstractSpanFinder() - Constructor for class edu.cmu.minorthird.text.AbstractSpanFinder

AbstractTextBase - Class in edu.cmu.minorthird.text

AbstractTextBase(Tokenizer) - Constructor for class edu.cmu.minorthird.text.AbstractTextBase

acc_sf1() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

acc_sp() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

acc_sr() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

acc_tf1() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

acc_tp() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

acc_tr() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.MoveOnlineDocumentCursor

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.text.gui.OnlineLearnerEditor.EditTypeAction

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.text.gui.TextBaseEditor.EditTypeAction

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker.MoveDocumentCursor

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker.SaveLabelsAction

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

actionPerformed(ActionEvent) - Method in class edu.cmu.minorthird.util.gui.ViewerControls

actual(String) - Method in class edu.cmu.minorthird.text.SpanDifference.Invoker

actualType - Variable in class edu.cmu.minorthird.text.SpanDifference.Invoker

AdaBoost - Class in edu.cmu.minorthird.classify.algorithms.trees

Generalized version of AdaBoost, as described in Robert E.

AdaBoost() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

AdaBoost(BatchClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

AdaBoost.L - Class in edu.cmu.minorthird.classify.algorithms.trees

AdaBoost.L is a logistic-regression version of AdaBoost.

AdaBoost.L() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost.L

AdaBoost.L(BatchClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost.L

add(Example) - Method in class edu.cmu.minorthird.classify.BasicDataset

Add an example to the dataset.

add(Example, boolean) - Method in class edu.cmu.minorthird.classify.BasicDataset

Add an Example to the dataset.

add(String, double) - Method in class edu.cmu.minorthird.classify.ClassLabel

Add a label with the given weight to this ClassLabel.

add(Example) - Method in interface edu.cmu.minorthird.classify.Dataset

Add a new example to the dataset.

add(Example, boolean) - Method in interface edu.cmu.minorthird.classify.Dataset

Add a new example to the dataset.

add(String, Evaluation) - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

Add an evaluation to the group

add(Example) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

add(Example, boolean) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

add(Example) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

Add an example to the dataset.

add(Example, boolean) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

Add an Example to the dataset.

add(Segmentation.Segment) - Method in class edu.cmu.minorthird.classify.sequential.Segmentation

add(Example) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Add an example to the dataset.

add(Example, boolean) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Add an Example to the dataset.

add(Example) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Add a new example to the dataset.

add(Example, boolean) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Add a new example to the dataset.

add(T, double) - Method in class edu.cmu.minorthird.classify.WeightedSet

Add a new object.

add() - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.EditedSpan

add(double) - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

Add a new number to the accumulator.

addActionListener(ActionListener) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

addAggregator(String, String) - Static method in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

Add an aggregator, i.e., save the info.

addApplyButton() - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Add an update button.

addBinary(Feature) - Method in class edu.cmu.minorthird.classify.MutableInstance

Add a binary feature.

addCandidateSegmentGroup(CandidateSegmentGroup) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Add a new sequence of examples to the dataset.

addDocument(String, String) - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

Provide document string with a label and add to the learner

addDocument(String, String) - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Provide document string with a label and add to the learner

AddDocuments() - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

Adds all the documents that have been edited but not already added to the classifier

added - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.EditedSpan

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BBMira

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron

addExample(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow

addExample(Example) - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.CascadingBinaryLearner

addExample(Example) - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Accept a labeled example.

addExample(Example) - Method in class edu.cmu.minorthird.classify.DatasetIndex

Add a single example to the index.

addExample(Example) - Method in interface edu.cmu.minorthird.classify.FeatureIndex

addExample(Example) - Method in class edu.cmu.minorthird.classify.ManyVsRestLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

Subclasses should use this method to perform whatever incremental update is needed after in response to a new example.

addExample(Example) - Method in class edu.cmu.minorthird.classify.OnlineVersion

addExample(Example) - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

addExample(Example) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

addFeature(double, Feature) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

Adds a score of feature f to the InstanceTransform

addFeature(String, String, String, StringBuffer) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

If the line substring matches the regexp, it adds a " featurename=1" to the string buffer It is useful for producing external datasets in Minorthird format

addFeatureIG(double, Feature) - Method in class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

Adds the Info-Gain score of feature f to the InstanceTransform

addFeatureVal(double, Feature) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedInstanceTransform

Adds the Info-Gain score of feature f to the InstanceTransform

addLink(Link) - Static method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

Add a link to the LinksMap of the dataset.

addMulti(MultiExample) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

addMultiExample(MultiExample) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Add a single example to the index.

addMultiExample(MultiExample) - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

addNumeric(Feature, double) - Method in class edu.cmu.minorthird.classify.MutableInstance

Add a numeric feature.

addPoint(double, double, boolean) - Method in class edu.cmu.minorthird.util.gui.LineCharter

Add a point to the current curve.

addPoint(double, double) - Method in class edu.cmu.minorthird.util.gui.LineCharter

Add a point to the current curve.

addSequence(Example[]) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Add a new sequence of examples to the dataset.

addSequence(Example[], boolean) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Add a new sequence of examples to the dataset

This method allows the caller to specify if they want the examples to be compressed or not.

addSGM(SGMExample) - Method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

addSGM(SGMExample, boolean) - Method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

Add an Example to the dataset.

addStatement(Mixup.MixupTokenizer, String) - Method in class edu.cmu.minorthird.text.mixup.MixupProgram

Add a single statement to the current mixup program.

addStatement(String) - Method in class edu.cmu.minorthird.text.mixup.MixupProgram

Add a single statement to the current mixup program.

addSubView(String, Viewer) - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

Add a new way of viewing the content object.

addToType(Span, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

addToType(Span, String, Details) - Method in class edu.cmu.minorthird.text.BasicTextLabels

addToType(Span, String) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

addToType(Span, String, Details) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

addToType(Span, String) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Assert that a span has a given type.

addToType(Span, String, Details) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Assert that a span has a given type, and associate that assertion with some detailed information.

addToType(Span, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

addToType(Span, String, Details) - Method in class edu.cmu.minorthird.text.NestedTextLabels

addUnlabeled(Instance) - Method in class edu.cmu.minorthird.classify.BasicDataset

addUnlabeled(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

addUnlabeled(Instance) - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedActions

Add a new semisupervised example to the dataset.

addUnlabeled(Instance) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

addValidLabel(ClassLabel) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

addValidLabel(ClassLabel) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

addViewer(TextBaseViewer) - Method in class edu.cmu.minorthird.text.gui.SpanLabeler

Say where the viewer is..

addWords(String, String[]) - Method in class edu.cmu.minorthird.text.Trie

Associate a sequence of words with a given id.

advance() - Method in class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

advance(Set<String>) - Method in class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

advancedParameters - Class in edu.cmu.minorthird.ui

Defines the list of classes that can be selected by an instance of UIMain.

advancedParameters() - Constructor for class edu.cmu.minorthird.ui.advancedParameters

aggregators - Static variable in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

alpha - Variable in class edu.cmu.minorthird.classify.algorithms.random.Gamma

AlphaSigma(double, double, double[], double[], double, double, double, double, double[], double, double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

AlphaTau(double, double, double[], double[], double, double, double, double, double[], double, double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

ann - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

annotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.AbstractAnnotator

annotate(MonotonicTextLabels) - Method in interface edu.cmu.minorthird.text.Annotator

Add some extra information to the labels.

annotate(String) - Method in class edu.cmu.minorthird.text.LabeledDirectory.MyCLP

ANNOTATE_WITH - Static variable in class edu.cmu.minorthird.text.mixup.Statement

annotateData() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

annotateData(MultiClassifier) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

annotateData(MultiClassifier, MultiDataset) - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

annotateData(MultiDataset) - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

annotateData(MultiClassifier, MultiDataset) - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

annotateData(MultiClassifier, MultiDataset) - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

annotatedCopy(TextLabels) - Method in class edu.cmu.minorthird.text.AbstractAnnotator

annotatedCopy(TextLabels) - Method in interface edu.cmu.minorthird.text.Annotator

Create a copy of the labels with some additional information added.

annotatedCopy(TextLabels) - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Returns an annotated copy of TextLabels

annotatedLabels - Variable in class edu.cmu.minorthird.ui.RunMixup

annotateString(String) - Method in class edu.cmu.minorthird.text.MinorTagger

annotateString(String) - Method in class edu.cmu.minorthird.text.POSTagger

Returns char based stand-off annotations for pos in the given string This will not work with html/xml in the string!

annotateString(String) - Method in class edu.cmu.minorthird.text.StringAnnotator

Override this class to provide the actual annotations for a span.

annotateWith(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

annotateWith(MonotonicTextLabels, String, String) - Static method in class edu.cmu.minorthird.text.BasicTextLabels

annotateWith(String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

annotateWith(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

Annotate labels with annotator named fileToLoad

annotateWith(String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

Annotate labels with annotator named fileToLoad

annotateWith(String, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Annotate labels with annotator named fileToLoad

AnnotationExample - Class in edu.cmu.minorthird.text.learn

Feedback for an annotation learner.

AnnotationExample(Span, TextLabels, String, String) - Constructor for class edu.cmu.minorthird.text.learn.AnnotationExample

annotationType - Variable in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

annotationType - Variable in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Annotator - Interface in edu.cmu.minorthird.text

Something that extends a text labeling with additional annotations.

AnnotatorLearner - Class in edu.cmu.minorthird.text.learn

Learn an Annotator from AnnotationExample's.

AnnotatorLearner() - Constructor for class edu.cmu.minorthird.text.learn.AnnotatorLearner

AnnotatorLoader - Class in edu.cmu.minorthird.text

Analogous to a ClassLoader, this finds annotators by name, so they can be applied to a set of labels.

AnnotatorLoader() - Constructor for class edu.cmu.minorthird.text.AnnotatorLoader

annotatorLoader - Variable in class edu.cmu.minorthird.text.learn.SpanFE

AnnotatorTeacher - Class in edu.cmu.minorthird.text.learn

Train a AnnotatorLearner and return the learned Annotator, using some unspecified source of information to get AnnotationExample's to train the learner.

AnnotatorTeacher() - Constructor for class edu.cmu.minorthird.text.learn.AnnotatorTeacher

append(String) - Method in class edu.cmu.minorthird.util.gui.Console

Append a string to the console window.

apply(T) - Method in class edu.cmu.minorthird.text.learn.SpanFE.Function

Should return the modified object.

ApplyAnnotator - Class in edu.cmu.minorthird.ui

Apply a serialized annotator.

ApplyAnnotator() - Constructor for class edu.cmu.minorthird.ui.ApplyAnnotator

applyControls(ViewerControls) - Method in class edu.cmu.minorthird.text.gui.SpanViewer

applyControls(ViewerControls) - Method in class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

applyControls(ViewerControls) - Method in class edu.cmu.minorthird.text.gui.TextLabelsViewer

applyControls(ViewerControls) - Method in interface edu.cmu.minorthird.util.gui.Controllable

applyFilter(SpanFE.Filter) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SetResult

Filter the set using a user-defined filter.

Arithmetic - Class in edu.cmu.minorthird.classify.algorithms.random

Arithmetic() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

asBag() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

asInstance() - Method in class edu.cmu.minorthird.classify.Example

Return an unlabeled version of the example (an Instance)

asPlainInstance() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

Return the wrapped instance.

asPlainInstance() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

Return the wrapped instance.

asSet() - Method in class edu.cmu.minorthird.classify.WeightedSet

asSet() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SetResult

Convert to a plain old set.

assignDefaultLabels(Span, MonotonicTextLabels, String, String) - Method in class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

Label all tokens as negative, including ones which are inside a span to be extracted.

asString() - Method in class edu.cmu.minorthird.text.BasicSpan

Find the string contained in a Span.

asString() - Method in interface edu.cmu.minorthird.text.Span

Find the string contained in a Span.

asString() - Method in class edu.cmu.minorthird.text.TextToken

atof(String) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert a string to a double.

atoi(String) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert a string to an integer.

AtoZPercentage(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Returns the percentage of A-Z or a-z characters in a line

AugmentedInstance - Class in edu.cmu.minorthird.classify.transform

Add some features to an instance.

AugmentedInstance(Instance, String[], double[]) - Constructor for class edu.cmu.minorthird.classify.transform.AugmentedInstance

AugmentedInstance.MyIterator - Class in edu.cmu.minorthird.classify.transform

AugmentedInstance.MyIterator() - Constructor for class edu.cmu.minorthird.classify.transform.AugmentedInstance.MyIterator

author() - Method in class edu.cmu.minorthird.text.Details

availableLabels() - Method in class edu.cmu.minorthird.text.learn.AnnotatorTeacher

Labels available for training, testing

availableLabels() - Method in class edu.cmu.minorthird.text.learn.TextLabelsAnnotatorTeacher

averageElevenPointPrecision() - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

Interpolated precision at eleven recall levels, averaged over all examples.

averageFeaturesPerExample() - Method in class edu.cmu.minorthird.classify.DatasetIndex

Average number of non-zero feature values in examples.

averageFeaturesPerExample() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Average number of non-zero feature values in examples.

averageLogLoss() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Average logloss on all examples.

averagePrecision() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Non-interpolated average precision.

averagePrecision(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

Non-interpolated average precision.

averageRecallAsFunctionOfK() - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

Recall as function of K, averaged over all examples.

B

Backward - Class in edu.cmu.minorthird.classify.sequential

Backward(HMM, String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.Backward

BAG_OF_LC_WORDS - Static variable in class edu.cmu.minorthird.text.learn.SampleFE

Simple bag of words feature extractor, with all tokens converted to lower case.

BAG_OF_WORDS - Static variable in class edu.cmu.minorthird.text.learn.SampleFE

Simple bag of words feature extractor.

BalancedWinnow - Class in edu.cmu.minorthird.classify.algorithms.linear

Created on Sep 22, 2005

BalancedWinnow() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

BalancedWinnow(boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

Constructor: voted="true" (more stable) or "false"(more aggressive)

BalancedWinnow(double, double, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

BalancedWinnow.MyClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

BalancedWinnow.MyClassifier(Hyperplane, Hyperplane, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

base - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

base - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

base - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

base - Variable in class edu.cmu.minorthird.ui.UIMain

base - Variable in class edu.cmu.minorthird.ui.ViewLabels

BasicCommandLineProcessor - Class in edu.cmu.minorthird.util

A lightweight command-line processing tool.

BasicCommandLineProcessor() - Constructor for class edu.cmu.minorthird.util.BasicCommandLineProcessor

BasicDataset - Class in edu.cmu.minorthird.classify

A set of examples for learning.

BasicDataset(FeatureFactory) - Constructor for class edu.cmu.minorthird.classify.BasicDataset

BasicDataset() - Constructor for class edu.cmu.minorthird.classify.BasicDataset

BasicDataset.SimpleDatasetViewer - Class in edu.cmu.minorthird.classify

BasicDataset.SimpleDatasetViewer() - Constructor for class edu.cmu.minorthird.classify.BasicDataset.SimpleDatasetViewer

BasicFeatureIndex - Class in edu.cmu.minorthird.classify

BasicFeatureIndex() - Constructor for class edu.cmu.minorthird.classify.BasicFeatureIndex

BasicFeatureIndex(Dataset) - Constructor for class edu.cmu.minorthird.classify.BasicFeatureIndex

BasicSpan - Class in edu.cmu.minorthird.text

Implements the Span interface.

BasicSpan(String, TextToken[], int, int, String) - Constructor for class edu.cmu.minorthird.text.BasicSpan

Constructor assumes that the textTokens are all from the documentId.

BasicTextBase - Class in edu.cmu.minorthird.text

Maintains information about what's in a set of documents.

BasicTextBase() - Constructor for class edu.cmu.minorthird.text.BasicTextBase

Default constructor creates a new TextBase with the default Tokenizer.

BasicTextBase(Tokenizer) - Constructor for class edu.cmu.minorthird.text.BasicTextBase

Constructor that specifies a custom Tokenizer to be used with this TextBase.

BasicTextLabels - Class in edu.cmu.minorthird.text

Maintains assertions about 'types' and 'properties' of contiguous Spans of these TextToken's.

BasicTextLabels() - Constructor for class edu.cmu.minorthird.text.BasicTextLabels

Creates an empty TextLabels not associated with a TextBase

BasicTextLabels(TextBase) - Constructor for class edu.cmu.minorthird.text.BasicTextLabels

Creates an empty TextLabels associated with the specified TextBase

BasicTextLabels(String) - Constructor for class edu.cmu.minorthird.text.BasicTextLabels

A convenience method which creates empty labels containing a single string.

BatchBinaryClassifierLearner - Class in edu.cmu.minorthird.classify

Simple abstract class, getBinaryClassifier() method for a BinaryClassifierLearner, and also a batchTrainBinary() method.

BatchBinaryClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

BatchClassifierLearner - Class in edu.cmu.minorthird.classify

Abstract ClassifierLearner which instantiates the teacher-learner protocol so as to implement a standard batch learner.

BatchClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.BatchClassifierLearner

BatchRankingLearner - Class in edu.cmu.minorthird.classify.ranking

Learns to rank sets of examples, rather than to classify individual examples.

BatchRankingLearner() - Constructor for class edu.cmu.minorthird.classify.ranking.BatchRankingLearner

BatchSegmenterLearner - Interface in edu.cmu.minorthird.classify.sequential

BatchSequenceClassifierLearner - Interface in edu.cmu.minorthird.classify.sequential

A SequenceClassifierLearner that trains itself in batch mode.

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.linear.PoissonLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

Train a classifier using the given dataset.

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

batchTrain(List<Example>, Vector<Feature>) - Method in class edu.cmu.minorthird.classify.algorithms.trees.FastRandomTreeLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.trees.FastRandomTreeLearner

batchTrain(Vector<Example>, int, Vector<Feature>, int, int, int) - Method in class edu.cmu.minorthird.classify.algorithms.trees.FastRandomTreeLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests

batchTrain(List<Example>, Vector<Feature>) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner

batchTrain(List<Example>, int, Vector<Feature>) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.BatchVersion

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.ranking.ListNet

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.ranking.RankingBoosted

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.ranking.RankingPerceptron

batchTrain(RealRelationalDataset) - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

batchTrain(RealRelationalDataset) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

batchTrain(SemiSupervisedDataset) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

batchTrain(SemiSupervisedDataset) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

batchTrain(SegmentDataset) - Method in interface edu.cmu.minorthird.classify.sequential.BatchSegmenterLearner

batchTrain(SequenceDataset) - Method in interface edu.cmu.minorthird.classify.sequential.BatchSequenceClassifierLearner

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.CMMLearner

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

batchTrain(SegmentDataset) - Method in class edu.cmu.minorthird.classify.sequential.DictVersion

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.HMMLearner

batchTrain(SegmentDataset) - Method in class edu.cmu.minorthird.classify.sequential.LeaveOneOutDictVersion

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.MarginPerceptronLearner

batchTrain(SegmentDataset) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

batchTrain(SegmentDataset) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCRFLearner

batchTrain(SegmentDataset) - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

batchTrain(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.StackedLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareTransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.FrequencyBasedTransformLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

batchTrain(Dataset) - Method in interface edu.cmu.minorthird.classify.transform.InstanceTransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.MakeBinaryTransform

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedTransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Examine data, build an instance transformer

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.TFIDFTransformLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

batchTrain(Dataset) - Method in class edu.cmu.minorthird.classify.TweakedLearner

batchTrainBinary(Dataset) - Method in class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

Train a binary classifier.

batchTrainCommittee(RandomAccessDataset) - Method in class edu.cmu.minorthird.classify.algorithms.active.CommitteeLearner

Learn a committee

BatchVersion - Class in edu.cmu.minorthird.classify

Batch version of an OnlineClassifierLearner.

BatchVersion(OnlineClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.BatchVersion

BatchVersion(OnlineClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.BatchVersion

BatchVersion() - Constructor for class edu.cmu.minorthird.classify.BatchVersion

baumwelch(ArrayList<String[]>, String[], Hashtable<String, String>, double) - Static method in class edu.cmu.minorthird.classify.sequential.HMM

baumwelch(double) - Method in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

BBMira - Class in edu.cmu.minorthird.classify.algorithms.linear

A budgeted version of binary MIRA.

BBMira(boolean, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.BBMira

BBMira() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.BBMira

BeamSearcher - Class in edu.cmu.minorthird.classify.sequential

A conditional markov model classifier.

BeamSearcher(Classifier, int, ExampleSchema) - Constructor for class edu.cmu.minorthird.classify.sequential.BeamSearcher

BeginContinueEndUniqueReduction - Class in edu.cmu.minorthird.text.learn

Reducing an extraction task to tagging tokens as one of five categories.

BeginContinueEndUniqueReduction() - Constructor for class edu.cmu.minorthird.text.learn.BeginContinueEndUniqueReduction

BeginContinueOutsideReduction - Class in edu.cmu.minorthird.text.learn

Reduces an extraction task to tagging tokens as one of three categories.

BeginContinueOutsideReduction() - Constructor for class edu.cmu.minorthird.text.learn.BeginContinueOutsideReduction

bestClassName() - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the highest-ranking label.

bestClassName() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the highest-ranking label.

bestLabelSequence(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

Get the best label sequence, as determined by the beam search

bestSegments(CandidateSegmentGroup) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner.ViterbiSearcher

bestSegments(Span, TextLabels, SpanFeatureExtractor, BinaryClassifier, int) - Static method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel

bestWeight() - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the weight of the highest-ranking label.

bestWeight() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the weight of the highest-ranking label.

beta(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

BIAS_TERM - Static variable in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Weight for an invisible 'bias feature' which is considered to be present in every instance.

big - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

biginv - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

BINARY_EXAMPLE_SCHEMA - Static variable in class edu.cmu.minorthird.classify.ExampleSchema

Schema for binary examples.

BinaryBatchVersion - Class in edu.cmu.minorthird.classify

Batch version of an OnlineBinaryClassifierLearner

BinaryBatchVersion(OnlineBinaryClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.BinaryBatchVersion

BinaryBatchVersion(OnlineBinaryClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.BinaryBatchVersion

BinaryClassifier - Class in edu.cmu.minorthird.classify

A Classifier which associates instances with a real number.

BinaryClassifier() - Constructor for class edu.cmu.minorthird.classify.BinaryClassifier

BinaryClassifierLearner - Interface in edu.cmu.minorthird.classify

Learn a BinaryClassifier.

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.Example

Return an iterator over all binary features

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

binaryFeatureIterator() - Method in interface edu.cmu.minorthird.classify.Instance

Return an iterator over all binary features.

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.MutableInstance

Return an iterator over all binary features

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

binaryFeatureIterator() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

Return an iterator over binary features

binaryLabel(double) - Static method in class edu.cmu.minorthird.classify.ClassLabel

Create a binary label, either positive or negative, as appropriate, with the associated score (in logits).

BinaryTextClassifier - Class in edu.cmu.minorthird.text.learn

Class the returns the score of a string rather than an instance

BinaryTextClassifier(OnlineClassifierLearner, SpanFeatureExtractor) - Constructor for class edu.cmu.minorthird.text.learn.BinaryTextClassifier

binomial(double, long) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

binomial(long, long) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

binomialStdErr() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The standard error of binomially distributed values.

BoneheadStemmer - Class in edu.cmu.minorthird.text

A very simple stemming algorithm.

BoneheadStemmer() - Constructor for class edu.cmu.minorthird.text.BoneheadStemmer

BOTTOM - Static variable in class edu.cmu.minorthird.util.gui.ViewerControls

BOWClassifierWrapper - Class in edu.cmu.minorthird.text

Deprecated.

BOWClassifierWrapper(File) - Constructor for class edu.cmu.minorthird.text.BOWClassifierWrapper

Deprecated.

BOWClassifierWrapper(InputStream) - Constructor for class edu.cmu.minorthird.text.BOWClassifierWrapper

Deprecated.

BoxComponent(Object) - Method in class edu.cmu.minorthird.util.gui.TypeSelector

buildFrame() - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

C

c_pm - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

cache - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

cacheFilled - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

cacheSizeHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

calculatePositiveThreshold(Dataset) - Method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

iterate over training data to discover positive threshold.

callMain(String[]) - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

callMain(String[]) - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

callMain(String[]) - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

callMain(String[]) - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

callMain(String[]) - Method in class edu.cmu.minorthird.ui.UIMain

Helper to handle command-line processing, in either gui or text mode.

CandidateSegmentGroup - Interface in edu.cmu.minorthird.classify.sequential

A group of sliding windows associated with a sequence.

candidateSegmentGroupIterator() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

candidateType - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

candidateType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.MessageViewer

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.Viewer

Offer to handle a signal.

canHandle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ZoomedViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.BasicDataset.SimpleDatasetViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.experiments.ClassifiedDataset.ExplanationViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.GUI.ExampleViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.GUI.InstanceViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.multi.GUI.InstanceViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.multi.GUI.MultiExampleViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset.ExplanationViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset.SimpleDatasetViewer

canReceive(Object) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset.SimpleDatasetViewer

canReceive(Object) - Method in class edu.cmu.minorthird.text.gui.SpanViewer

canReceive(Object) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.MessageViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.SmartVanillaViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.TransformedVanillaViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.VanillaViewer

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.Viewer

See if proposed content is displayable.

canReceive(Object) - Method in class edu.cmu.minorthird.util.gui.ZoomedViewer

CascadingBinaryLearner - Class in edu.cmu.minorthird.classify

Multi-class version of a binary classifier.

CascadingBinaryLearner() - Constructor for class edu.cmu.minorthird.classify.CascadingBinaryLearner

CascadingBinaryLearner(ClassifierLearnerFactory) - Constructor for class edu.cmu.minorthird.classify.CascadingBinaryLearner

Deprecated. use CascadingBinaryLearner(BatchClassifierLearner learner)

CascadingBinaryLearner(String) - Constructor for class edu.cmu.minorthird.classify.CascadingBinaryLearner

CascadingBinaryLearner(BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.CascadingBinaryLearner

ceil(double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

CharAnnotation - Class in edu.cmu.minorthird.text

Represents a stand-off annotation by character ie offset, length, and type The stand-off annotation is generally immutable

CharAnnotation(int, int, String) - Constructor for class edu.cmu.minorthird.text.CharAnnotation

create the annotation

charIndexProperSubSpan(int, int) - Method in class edu.cmu.minorthird.text.BasicSpan

charIndexProperSubSpan(int, int) - Method in interface edu.cmu.minorthird.text.Span

Create a the largest Span containing TextToken's which are contained in the character boundaries charLo, charHi of this span.

charIndexSubSpan(int, int) - Method in class edu.cmu.minorthird.text.BasicSpan

charIndexSubSpan(int, int) - Method in interface edu.cmu.minorthird.text.Span

Create a new Span containing TextToken's which are as close as possible to the character boundaries charLo, charHi of thisspan.

charOffset - Variable in class edu.cmu.minorthird.text.Document

charTypePattern() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

charTypePattern() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE.MyCLP

charTypePattern() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

charTypes() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

charTypes() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE.MyCLP

charTypes() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

chbevl(double, double[], int) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

checkIfAdded(int) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

Check if the documentSpan with docID has already been added to the classifier

checkLabel(int) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

Returns the label of the document if it has been labeled

ChiSquareInstanceTransform - Class in edu.cmu.minorthird.classify.transform

ChiSquareInstanceTransform() - Constructor for class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

Default Constructor - numFeatures=100

ChiSquareInstanceTransform(int) - Constructor for class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

Constructor - parameter is number of features

ChiSquareTransformLearner - Class in edu.cmu.minorthird.classify.transform

ChiSquareTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.ChiSquareTransformLearner

ChiSquareTransformLearner(String) - Constructor for class edu.cmu.minorthird.classify.transform.ChiSquareTransformLearner

classic - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

classic() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron.MyClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner.MyClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.BinaryClassifier

classification(Instance) - Method in interface edu.cmu.minorthird.classify.Classifier

Return a predicted type for the span, as a class label.

classification(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

Give you the class label for the first dimension

classification(Instance) - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

classification(RealRelationalDataset) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

classification(Instance) - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedClassifier

Return a predicted type for each element of the sequence.

classification(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.CMM

classification(Instance) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

classification(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

Return a predicted type for each element of the sequence.

classification(Instance) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1.MultiClassClassifier

classification(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

classification(Instance[]) - Method in interface edu.cmu.minorthird.classify.sequential.SequenceClassifier

Return a predicted type for each element of the sequence.

classification(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.TrivialSequenceClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingClassifier

classification(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

ClassifiedDataset - Class in edu.cmu.minorthird.classify.experiments

Pairs a dataset and a classifier, for easy inspection of the actions of a classifier.

ClassifiedDataset(Classifier, Dataset) - Constructor for class edu.cmu.minorthird.classify.experiments.ClassifiedDataset

ClassifiedDataset(Classifier, Dataset, DatasetIndex) - Constructor for class edu.cmu.minorthird.classify.experiments.ClassifiedDataset

ClassifiedDataset.ExplanationViewer - Class in edu.cmu.minorthird.classify.experiments

ClassifiedDataset.ExplanationViewer(Explanation) - Constructor for class edu.cmu.minorthird.classify.experiments.ClassifiedDataset.ExplanationViewer

ClassifiedSequenceDataset - Class in edu.cmu.minorthird.classify.sequential

A SequenceDataset that has been classified with a SequenceClassifier.

ClassifiedSequenceDataset(SequenceClassifier, SequenceDataset) - Constructor for class edu.cmu.minorthird.classify.sequential.ClassifiedSequenceDataset

classifier - Variable in class edu.cmu.minorthird.classify.BatchClassifierLearner

This variable saves the last classifier produced by batchTrain.

Classifier - Interface in edu.cmu.minorthird.classify

Interface for a classifier.

classifier - Variable in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

classifier - Variable in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

This variable saves the last classifier produced by batchTrain.

ClassifierAnnotator - Class in edu.cmu.minorthird.text.learn

An annotator that uses a learned Classifier to mark up document spans.

ClassifierAnnotator(SpanFeatureExtractor, Classifier, String, String, String) - Constructor for class edu.cmu.minorthird.text.learn.ClassifierAnnotator

ClassifierAnnotator(SpanFeatureExtractor, Classifier, String, String) - Constructor for class edu.cmu.minorthird.text.learn.ClassifierAnnotator

classifierFile(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

classifierLearner - Variable in class edu.cmu.minorthird.classify.BinaryClassifier

ClassifierLearner - Interface in edu.cmu.minorthird.classify

Learn an Classifier.

ClassifierLearnerFactory - Class in edu.cmu.minorthird.classify

Generate many copies of a ClassifierLearner.

ClassifierLearnerFactory(String) - Constructor for class edu.cmu.minorthird.classify.ClassifierLearnerFactory

classifiers - Variable in class edu.cmu.minorthird.classify.multi.MultiClassifier

ClassifierTeacher - Class in edu.cmu.minorthird.classify

Implements the teacher's side of the learner-teacher protocol.

ClassifierTeacher() - Constructor for class edu.cmu.minorthird.classify.ClassifierTeacher

ClassifyCommandLineUtil - Class in edu.cmu.minorthird.classify

Main UI program for the 'classify' package.

ClassifyCommandLineUtil() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil

ClassifyCommandLineUtil.BaseParams - Class in edu.cmu.minorthird.classify

Parameters used for all experiments

ClassifyCommandLineUtil.BaseParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

ClassifyCommandLineUtil.Learner - Class in edu.cmu.minorthird.classify

Generalized class for Leaner...

ClassifyCommandLineUtil.Learner() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner

ClassifyCommandLineUtil.Learner.ClassifierLearner - Class in edu.cmu.minorthird.classify

ClassifyCommandLineUtil.Learner.ClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.ClassifierLearner

ClassifyCommandLineUtil.Learner.SequentialLearner - Class in edu.cmu.minorthird.classify

ClassifyCommandLineUtil.Learner.SequentialLearner() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.SequentialLearner

ClassifyCommandLineUtil.MultiTestParams - Class in edu.cmu.minorthird.classify

ClassifyCommandLineUtil.MultiTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

ClassifyCommandLineUtil.MultiTrainParams - Class in edu.cmu.minorthird.classify

Paramaters for training with a simple dataset

ClassifyCommandLineUtil.MultiTrainParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

ClassifyCommandLineUtil.MultiTrainTestParams - Class in edu.cmu.minorthird.classify

Specific TrainTestParameters for Multi mode.

ClassifyCommandLineUtil.MultiTrainTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

ClassifyCommandLineUtil.SeqTestParams - Class in edu.cmu.minorthird.classify

ClassifyCommandLineUtil.SeqTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTestParams

ClassifyCommandLineUtil.SeqTrainParams - Class in edu.cmu.minorthird.classify

Paramaters for training with a simple dataset

ClassifyCommandLineUtil.SeqTrainParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

ClassifyCommandLineUtil.SeqTrainTestParams - Class in edu.cmu.minorthird.classify

Specific TrainTestParameters for Sequential mode.

ClassifyCommandLineUtil.SeqTrainTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

ClassifyCommandLineUtil.SimpleTestParams - Class in edu.cmu.minorthird.classify

ClassifyCommandLineUtil.SimpleTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTestParams

ClassifyCommandLineUtil.SimpleTrainParams - Class in edu.cmu.minorthird.classify

Paramaters for training with a simple dataset

ClassifyCommandLineUtil.SimpleTrainParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

ClassifyCommandLineUtil.SimpleTrainTestParams - Class in edu.cmu.minorthird.classify

Specific TrainTestParameters for Simple/Standard mode.

ClassifyCommandLineUtil.SimpleTrainTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

ClassifyCommandLineUtil.TestParams - Class in edu.cmu.minorthird.classify

Paramters for Test Classifier

ClassifyCommandLineUtil.TestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

ClassifyCommandLineUtil.TrainParams - Class in edu.cmu.minorthird.classify

Parameters for training.

ClassifyCommandLineUtil.TrainParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

ClassifyCommandLineUtil.TrainTestParams - Class in edu.cmu.minorthird.classify

Paramters for TrainTest Classifier.

ClassifyCommandLineUtil.TrainTestParams() - Constructor for class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

classIndex(String) - Method in class edu.cmu.minorthird.classify.DatasetIndex

classIndex(String) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

ClassLabel - Class in edu.cmu.minorthird.classify

A label which is associated with an instance---either by a classifier, or in training data.

ClassLabel() - Constructor for class edu.cmu.minorthird.classify.ClassLabel

ClassLabel(String) - Constructor for class edu.cmu.minorthird.classify.ClassLabel

ClassLabel(String, double) - Constructor for class edu.cmu.minorthird.classify.ClassLabel

className(Segmentation.Segment) - Method in class edu.cmu.minorthird.classify.sequential.Segmentation

classNameSet - Variable in class edu.cmu.minorthird.classify.BasicDataset

classNameSet - Variable in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

classNameSet() - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the set of strings associated with ClassLabels on any of the stored segments.

classNameSet() - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

classNameSet() - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

classNameSet - Variable in class edu.cmu.minorthird.classify.sequential.SequenceDataset

classNameSets - Variable in class edu.cmu.minorthird.classify.multi.MultiDataset

clear() - Method in class edu.cmu.minorthird.util.gui.Console

Clear the console window.

clearContent() - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

clearContent() - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

clearContent() - Method in class edu.cmu.minorthird.util.gui.MessageViewer

clearContent() - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

clearContent() - Method in class edu.cmu.minorthird.util.gui.SplitViewer

clearContent() - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

clearContent() - Method in class edu.cmu.minorthird.util.gui.Viewer

Called when no content should be displayed.

clearGraphicContext() - Static method in class edu.cmu.minorthird.util.ProgressCounter

CLOSE_ALL_TYPES - Static variable in class edu.cmu.minorthird.text.TextLabelsLoader

Spans in labels are a complete list of all spans.

CLOSE_BY_OPERATION - Static variable in class edu.cmu.minorthird.text.TextLabelsLoader

CLOSE_TYPES_IN_LABELED_DOCS - Static variable in class edu.cmu.minorthird.text.TextLabelsLoader

If a document has been labeled for a type, assume all spans of that type are there.

closedTypes() - Method in class edu.cmu.minorthird.text.StringAnnotator

closeLabels(MutableTextLabels, int) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Close labels on the labels according to the policy.

closeTypeInside(String, Span) - Method in class edu.cmu.minorthird.text.BasicTextLabels

closeTypeInside(String, Span) - Method in interface edu.cmu.minorthird.text.MutableTextLabels

Make it the case that there are no spans of the given type contained by the given span, other than those already inserted to exist.

CLOSURE_NAMES - Static variable in class edu.cmu.minorthird.text.TextLabelsLoader

closureIterator(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

closureIterator(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

closureIterator(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

closureIterator(String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

closureIterator(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

closureIterator(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

closureIterator(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

closureIterator(String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

closureIterator(String) - Method in interface edu.cmu.minorthird.text.TextLabels

Returns the spans s for in the given type is 'closed'.

closureIterator(String, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Returns the spans S inside the given document in which the given type is 'closed'.

clsLearner - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.ClassifierLearner

clsLnr - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

clsLnr - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

CMM - Class in edu.cmu.minorthird.classify.sequential

A conditional markov model classifier.

CMM(Classifier, int, ExampleSchema) - Constructor for class edu.cmu.minorthird.classify.sequential.CMM

CMMLearner - Class in edu.cmu.minorthird.classify.sequential

Train a CMM (in batch mode).

CMMLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.CMMLearner

CMMLearner(ClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.sequential.CMMLearner

CMMTweaker - Class in edu.cmu.minorthird.classify.sequential

Adjust the precision-recall of a CMM that is based on an array of hyperplanes, by adjusting the bias term of the hyperplane associated with the background (NEG) class.

CMMTweaker() - Constructor for class edu.cmu.minorthird.classify.sequential.CMMTweaker

coef0Help - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

CollinsPerceptronLearner - Class in edu.cmu.minorthird.classify.sequential

Sequential learner based on the perceptron algorithm, as described in Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms, Mike Collins, EMNLP 2002.

CollinsPerceptronLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

CollinsPerceptronLearner(int) - Constructor for class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

CollinsPerceptronLearner(int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

CollinsPerceptronLearner.MultiClassVPClassifier - Class in edu.cmu.minorthird.classify.sequential

CollinsPerceptronLearner.MultiClassVPClassifier(ExampleSchema) - Constructor for class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

CommandLineProcessor - Interface in edu.cmu.minorthird.util

A lightweight command-line processing tool.

CommandLineProcessor.Configurable - Interface in edu.cmu.minorthird.util

Interface for objects that can be configured with command-line arguments.

CommandLineUtil - Class in edu.cmu.minorthird.ui

Minorthird-specific utilities for command line based interface routines.

CommandLineUtil() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil

CommandLineUtil.AnnotatorOutputParams - Class in edu.cmu.minorthird.ui

CommandLineUtil.AnnotatorOutputParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

CommandLineUtil.BaseParams - Class in edu.cmu.minorthird.ui

Basic parameters used by almost everything.

CommandLineUtil.BaseParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

CommandLineUtil.ClassificationSignalParams - Class in edu.cmu.minorthird.ui

Parameters encoding the 'training signal' for classification learning.

CommandLineUtil.ClassificationSignalParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

Not recommended, but required for bean-shell like visualization

CommandLineUtil.ClassificationSignalParams(CommandLineUtil.BaseParams) - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

CommandLineUtil.EditParams - Class in edu.cmu.minorthird.ui

Parameters used by all 'train' routines.

CommandLineUtil.EditParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

CommandLineUtil.ExtractionSignalParams - Class in edu.cmu.minorthird.ui

Parameters encoding the 'training signal' for extraction learning.

CommandLineUtil.ExtractionSignalParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

Not recommended, but required for bean-shell like visualization

CommandLineUtil.ExtractionSignalParams(CommandLineUtil.BaseParams) - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

CommandLineUtil.GUIParams - Class in edu.cmu.minorthird.ui

Basic parameters used by everything with a gui.

CommandLineUtil.GUIParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.GUIParams

CommandLineUtil.LoadAnnotatorParams - Class in edu.cmu.minorthird.ui

Parameters for testing a stored classifier.

CommandLineUtil.LoadAnnotatorParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

CommandLineUtil.MixupParams - Class in edu.cmu.minorthird.ui

CommandLineUtil.MixupParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

CommandLineUtil.MultiClassificationSignalParams - Class in edu.cmu.minorthird.ui

Parameters encoding the 'training signal' for extraction learning.

CommandLineUtil.MultiClassificationSignalParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

Not recommended, but required for bean-shell like visualization

CommandLineUtil.MultiClassificationSignalParams(CommandLineUtil.BaseParams) - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

CommandLineUtil.OnlineBaseParams - Class in edu.cmu.minorthird.ui

Basic parameters used by almost everything.

CommandLineUtil.OnlineBaseParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

CommandLineUtil.OnlineLearnerParams - Class in edu.cmu.minorthird.ui

Parameters for Adding Examples to a Online Classifier

CommandLineUtil.OnlineLearnerParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

CommandLineUtil.OnlineSignalParams - Class in edu.cmu.minorthird.ui

Parameters encoding the 'training signal' for extraction learning.

CommandLineUtil.OnlineSignalParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

Not recommended, but required for bean-shell like visualization

CommandLineUtil.OnlineSignalParams(CommandLineUtil.OnlineBaseParams) - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

CommandLineUtil.SaveParams - Class in edu.cmu.minorthird.ui

Parameters used by all 'train' routines.

CommandLineUtil.SaveParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

CommandLineUtil.SplitterParams - Class in edu.cmu.minorthird.ui

Parameters for doing train/test evaluation of a classifier.

CommandLineUtil.SplitterParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

CommandLineUtil.TaggerSignalParams - Class in edu.cmu.minorthird.ui

Parameters encoding the 'training signal' for learning a token-tagger.

CommandLineUtil.TaggerSignalParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

Not recommended, but required for bean-shell like visualization

CommandLineUtil.TaggerSignalParams(CommandLineUtil.BaseParams) - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

CommandLineUtil.TestClassifierParams - Class in edu.cmu.minorthird.ui

Parameters for testing a stored classifier.

CommandLineUtil.TestClassifierParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

CommandLineUtil.TestExtractorParams - Class in edu.cmu.minorthird.ui

Parameters for testing a stored classifier.

CommandLineUtil.TestExtractorParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TestExtractorParams

CommandLineUtil.TrainClassifierParams - Class in edu.cmu.minorthird.ui

Parameters for training a classifier.

CommandLineUtil.TrainClassifierParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

CommandLineUtil.TrainExtractorParams - Class in edu.cmu.minorthird.ui

Parameters for training an extractor.

CommandLineUtil.TrainExtractorParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

CommandLineUtil.TrainTaggerParams - Class in edu.cmu.minorthird.ui

Parameters for training an extractor.

CommandLineUtil.TrainTaggerParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

CommandLineUtil.ViewLabelsParams - Class in edu.cmu.minorthird.ui

CommandLineUtil.ViewLabelsParams() - Constructor for class edu.cmu.minorthird.ui.CommandLineUtil.ViewLabelsParams

CommitteeLearner - Class in edu.cmu.minorthird.classify.algorithms.active

Routines for forming and working with committees.

CommitteeLearner(BatchClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.active.CommitteeLearner

CompactCandidateSegmentGroup - Class in edu.cmu.minorthird.classify.sequential

A more space-efficient version of a CandidateSegmentGroup.

CompactCandidateSegmentGroup(FeatureFactory, CandidateSegmentGroup) - Constructor for class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

Creates a new holder for sliding-window instances.

compareTo(Feature) - Method in class edu.cmu.minorthird.classify.Feature

Implements Comparable

compareTo(Segmentation.Segment) - Method in class edu.cmu.minorthird.classify.sequential.Segmentation.Segment

compareTo(Span) - Method in class edu.cmu.minorthird.text.BasicSpan

compareTo(TextToken) - Method in class edu.cmu.minorthird.text.TextToken

completeTraining() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

completeTraining() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

completeTraining() - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

completeTraining() - Method in class edu.cmu.minorthird.classify.CascadingBinaryLearner

completeTraining() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Accept a signal that no more training data is available.

completeTraining() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

completeTraining() - Method in class edu.cmu.minorthird.classify.MostFrequentFirstLearner

completeTraining() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

completeTraining() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

completeTraining() - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

A promise from the caller that no further examples will be added.

completeTraining() - Method in class edu.cmu.minorthird.classify.OnlineVersion

completeTraining() - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

completeTraining() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

completeTraining() - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

Tells the learner that no more examples are coming

completeTraining() - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Tells the learner that no more examples are coming

completeUpdate() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

componentFor(Object) - Method in class edu.cmu.minorthird.classify.BasicDataset.SimpleDatasetViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.experiments.ClassifiedDataset.ExplanationViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.ConfusionMatrixViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.ElevenPointPrecisionViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.PropertyViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.ROCViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.SummaryViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.GUI.ExampleViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.GUI.InstanceViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.multi.GUI.InstanceViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.multi.GUI.MultiExampleViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset.ExplanationViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset.SimpleDatasetViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.multi.MultiEvaluation.EvaluationViewer

componentFor(Object) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset.SimpleDatasetViewer

componentFor(Object) - Method in class edu.cmu.minorthird.text.gui.SpanViewer.IdViewer

componentFor(Object) - Method in class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

componentFor(Object) - Method in class edu.cmu.minorthird.text.gui.SpanViewer.TokenViewer

componentFor(Object) - Method in class edu.cmu.minorthird.text.gui.TextLabelsViewer

componentFor(Object) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.IndexedViewer

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.SmartVanillaViewer

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.TransformedVanillaViewer

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.TypeSelector

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.HelpViewer

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.PropertyEditor

componentFor(Object) - Method in class edu.cmu.minorthird.util.gui.VanillaViewer

ComponentViewer - Class in edu.cmu.minorthird.util.gui

Abstract viewer which displays JComponent.

ComponentViewer() - Constructor for class edu.cmu.minorthird.util.gui.ComponentViewer

ComponentViewer(Object) - Constructor for class edu.cmu.minorthird.util.gui.ComponentViewer

CompoundTokenizer - Class in edu.cmu.minorthird.text

CompoundTokenizer() - Constructor for class edu.cmu.minorthird.text.CompoundTokenizer

compress(Instance) - Method in class edu.cmu.minorthird.classify.FeatureFactory

Return a version of the instance in which all features have been translated to canonical versions from the feature factory

compress(Example) - Method in class edu.cmu.minorthird.classify.FeatureFactory

Return a version of the Example in which all features have been translated to canonical versions from the feature factory.

compress(MultiExample) - Method in class edu.cmu.minorthird.classify.FeatureFactory

Return a version of the MultiExample in which all features have been translated to canonical versions from the feature factory.

compressSGM(SGMExample) - Method in class edu.cmu.minorthird.classify.SGMFeatureFactory

Return a version of the example in which all features have been translated to canonical versions from the feature factory.

conciseExampleRendererComponent(Example, int, boolean) - Static method in class edu.cmu.minorthird.classify.GUI

A JComponent holding a very concise rendering of an example.

conciseExampleRendererComponent(MultiExample, int, boolean) - Static method in class edu.cmu.minorthird.classify.multi.GUI

A JComponent holding a very concise rendering of an example.

conciseMultiExampleRendererComponent(MultiExample, int, boolean) - Static method in class edu.cmu.minorthird.classify.multi.GUI

ConditionalSemiMarkovModel - Class in edu.cmu.minorthird.text.learn

Learn to annotate based on a conditional semi-markov model, learned from examples.

ConditionalSemiMarkovModel() - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel

ConditionalSemiMarkovModel.CSMMAnnotator - Class in edu.cmu.minorthird.text.learn

ConditionalSemiMarkovModel.CSMMAnnotator(SpanFeatureExtractor, BinaryClassifier, String, int) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMAnnotator

ConditionalSemiMarkovModel.CSMMLearner - Class in edu.cmu.minorthird.text.learn

A learner for ConditionalSemiMarkovModel's.

ConditionalSemiMarkovModel.CSMMLearner() - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(int) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(int, int) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(String, String, int) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(String, String, int, int) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(String, String, int, int, String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(String, String, int, int, boolean, boolean, String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(String, String, int, int, boolean, String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMLearner(SpanFeatureExtractor, OnlineBinaryClassifierLearner, int, int, String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

ConditionalSemiMarkovModel.CSMMSpanFE - Class in edu.cmu.minorthird.text.learn

ConditionalSemiMarkovModel.CSMMSpanFE() - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMSpanFE

ConditionalSemiMarkovModel.CSMMSpanFE(int) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMSpanFE

ConditionalSemiMarkovModel.CSMMSpanFE(String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMSpanFE

ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE - Class in edu.cmu.minorthird.text.learn

Feature extractor for providing distance-based features on terms.

ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE(String, String) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE

ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE(String, String, boolean, boolean) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE

ConditionalSemiMarkovModel.Segments - Class in edu.cmu.minorthird.text.learn

ConditionalSemiMarkovModel.Segments(Set<Span>) - Constructor for class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.Segments

confidence(Instance[], ClassLabel[], ClassLabel[], int, int) - Method in class edu.cmu.minorthird.classify.sequential.CMM

confidence(Instance[], ClassLabel[], ClassLabel[], int, int) - Method in interface edu.cmu.minorthird.classify.sequential.ConfidenceReportingSequenceClassifier

Return a measure of confidence that the correct ClassLabels for indices lo...hi-1 of the 'sequence' are in fact the ones in 'predictedClasses[lo..hi-1]', rather than the ones given in in 'alternateClasses'.

ConfidenceReportingSequenceAnnotator - Class in edu.cmu.minorthird.text.learn

Wraps an Annotator learned by SequenceAnnotatorLearner with code to compute confidences for each extracted span.

ConfidenceReportingSequenceAnnotator(SequenceAnnotatorLearner.SequenceAnnotator) - Constructor for class edu.cmu.minorthird.text.learn.ConfidenceReportingSequenceAnnotator

ConfidenceReportingSequenceClassifier - Interface in edu.cmu.minorthird.classify.sequential

A sequence classifier that can report on the confidence associated with any subsequence of a sequential classification.

ConfidenceUtils - Class in edu.cmu.minorthird.classify.sequential

A hack for computing approximate confidences over a sequence.

ConfidenceUtils() - Constructor for class edu.cmu.minorthird.classify.sequential.ConfidenceUtils

config(String) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

Implements the -config option.

config(String, CommandLineProcessor) - Static method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

Implements the -config option for the given clp.

confusionMatrix() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Return a confusion matrix.

Console - Class in edu.cmu.minorthird.util.gui

Implements the console window for the gui

Console(Console.Task) - Constructor for class edu.cmu.minorthird.util.gui.Console

Console(Object, boolean, JButton) - Constructor for class edu.cmu.minorthird.util.gui.Console

Constructor initializes the task, whether labels are present, and the viewButton

Console.Task - Interface in edu.cmu.minorthird.util.gui

Interface for objects that can be configured with command-line arguments.

Constants - Class in edu.cmu.minorthird.classify.algorithms.random

Defines some useful constants.

Constants() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Constants

Makes this class non instantiable, but still let's others inherit from it.

consumeArguments(String[], int) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

consumeArguments(String[], int) - Method in interface edu.cmu.minorthird.util.CommandLineProcessor

Try to consume a the command-line argument at position i.

consumeArguments(String[], int) - Method in class edu.cmu.minorthird.util.JointCommandLineProcessor

contains(Feature) - Method in class edu.cmu.minorthird.classify.FeatureFactory

contains(Segmentation.Segment) - Method in class edu.cmu.minorthird.classify.sequential.Segmentation

contains(T) - Method in class edu.cmu.minorthird.classify.WeightedSet

contains(Span) - Method in class edu.cmu.minorthird.text.BasicSpan

contains(Span) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.Segments

contains(Span) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextBase

True if a span is contained by this TextBase

contains(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to a set of all spans of the named type that are contained by the current span.

contains(Span) - Method in interface edu.cmu.minorthird.text.Span

Check containment

containsLevel(String) - Method in class edu.cmu.minorthird.text.TextBaseManager

Returns a boolean indicating whether or not this manager has a level with the specified name

contextWidth - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

contextWidthSlider - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

ContingencyTable - Class in edu.cmu.minorthird.classify.transform

ContingencyTable(long, long, long, long) - Constructor for class edu.cmu.minorthird.classify.transform.ContingencyTable

Controllable - Interface in edu.cmu.minorthird.util.gui

Soomething which can accept controls from a ViewerControls object.

ControlledViewer - Class in edu.cmu.minorthird.util.gui

A Viewer coupled with a ViewerControls object.

ControlledViewer() - Constructor for class edu.cmu.minorthird.util.gui.ControlledViewer

ControlledViewer(Viewer, ViewerControls) - Constructor for class edu.cmu.minorthird.util.gui.ControlledViewer

convert_Ob_seq(String[]) - Method in class edu.cmu.minorthird.classify.sequential.HMM

convertToSVMProblem(Dataset) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

convert the given dataset into a svm_problem object by looping through the examples and features - features are resorted numericly

copy() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

copy() - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

copy() - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

copy() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Make a copy of the learner.

copy() - Method in class edu.cmu.minorthird.classify.ManyVsRestLearner

copy() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

copy() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

copy() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

copy() - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

copy() - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

copy() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

CoreRelationalDataset - Class in edu.cmu.minorthird.classify.relational

A core set of examples for stached graphical learning -- dataset + linksmap.

CoreRelationalDataset() - Constructor for class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

cParameterHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

cParameterWeightHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

createLevel(String, String, String) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Creates a new level.

createOnlineClassifierDocumentEditor(TextLabels, TextBaseViewer, MutableTextLabels, StatusMessage, OnlineTextClassifierLearner) - Method in class edu.cmu.minorthird.text.gui.OnlineLearnerEditor

createPE(Class) - Method in class edu.cmu.minorthird.util.gui.TypeSelector

createSpanEditor(TextLabels, MutableTextLabels, StatusMessage) - Method in class edu.cmu.minorthird.text.gui.TextBaseEditor

createSpanProp(String, MonotonicTextLabels) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Creates a Mixup program that defines a SpanProp from a list of Span Types

createXMLmarkup(String, TextLabels) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Save extracted data in an XML format.

CRFLearner - Class in edu.cmu.minorthird.classify.sequential

Sequential learner based on the CRF algorithm.

CRFLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.CRFLearner

CRFLearner(String) - Constructor for class edu.cmu.minorthird.classify.sequential.CRFLearner

CRFLearner(String, int) - Constructor for class edu.cmu.minorthird.classify.sequential.CRFLearner

CRFLearner(String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.CRFLearner

CRFLearner.MTFeatureGenImpl - Class in edu.cmu.minorthird.classify.sequential

CRFLearner.MTFeatureGenImpl(String, int, String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.CRFLearner.MTFeatureGenImpl

cross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

cross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

cross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

cross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

cross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

cross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

cross - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

cross() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

crossDim - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

crossDim - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

crossEntropy(double[], double[]) - Method in class edu.cmu.minorthird.classify.ranking.ListNet

Calculates Equation (3): cross entropy between a "base" distribution and another one.

CrossValidatedDataset - Class in edu.cmu.minorthird.classify.experiments

View result of some sort of train/test experiment.

CrossValidatedDataset(ClassifierLearner, Dataset, Splitter<Example>) - Constructor for class edu.cmu.minorthird.classify.experiments.CrossValidatedDataset

CrossValidatedDataset(ClassifierLearner, Dataset, Splitter<Example>, boolean) - Constructor for class edu.cmu.minorthird.classify.experiments.CrossValidatedDataset

crossValidatedDataset(boolean) - Method in class edu.cmu.minorthird.classify.experiments.Expt

crossValidatedDataset() - Method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

CrossValidatedSequenceDataset - Class in edu.cmu.minorthird.classify.sequential

View result of some sort of train/test experiment on sequential data.

CrossValidatedSequenceDataset(SequenceClassifierLearner, SequenceDataset, Splitter<Example[]>) - Constructor for class edu.cmu.minorthird.classify.sequential.CrossValidatedSequenceDataset

CrossValidatedSequenceDataset(SequenceClassifierLearner, SequenceDataset, Splitter<Example[]>, boolean) - Constructor for class edu.cmu.minorthird.classify.sequential.CrossValidatedSequenceDataset

CrossValSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

Split into k separate disjoint folds, then return k train/test splits where each train set is the union of k-1 folds, and the test set is the k-th fold.

CrossValSplitter(Random, int) - Constructor for class edu.cmu.minorthird.classify.experiments.CrossValSplitter

CrossValSplitter(int) - Constructor for class edu.cmu.minorthird.classify.experiments.CrossValSplitter

CrossValSplitter() - Constructor for class edu.cmu.minorthird.classify.experiments.CrossValSplitter

D

D2TransformLearner - Class in edu.cmu.minorthird.classify.transform

D2TransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.D2TransformLearner

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

data(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

data(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingExpt.MyCLP

data - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

data(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

DATADIR_PROP - Static variable in class edu.cmu.minorthird.text.FancyLoader

Property defining location of raw data

dataset - Variable in class edu.cmu.minorthird.classify.BatchClassifierLearner

Dataset - Interface in edu.cmu.minorthird.classify

A set of examples for learning.

dataset - Variable in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

This variable saves the last classifier produced by batchTrain.

dataset - Variable in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

dataset - Variable in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

Dataset.Split - Interface in edu.cmu.minorthird.classify

A partitioning of the dataset into a number of train/test partitions

DatasetClassifierTeacher - Class in edu.cmu.minorthird.classify

Trains a ClassifierLearner using the information in a labeled Dataset.

DatasetClassifierTeacher(Dataset) - Constructor for class edu.cmu.minorthird.classify.DatasetClassifierTeacher

DatasetClassifierTeacher(Dataset, boolean) - Constructor for class edu.cmu.minorthird.classify.DatasetClassifierTeacher

DatasetIndex - Class in edu.cmu.minorthird.classify

An inverted index, mapping features to examples which contain the features.

DatasetIndex() - Constructor for class edu.cmu.minorthird.classify.DatasetIndex

DatasetIndex(Dataset) - Constructor for class edu.cmu.minorthird.classify.DatasetIndex

Construct an index of a dataset.

DatasetLoader - Class in edu.cmu.minorthird.classify

Dataset i/o.

DatasetLoader() - Constructor for class edu.cmu.minorthird.classify.DatasetLoader

DatasetSemiSupervisedClassifierTeacher - Class in edu.cmu.minorthird.classify.semisupervised

Trains a SemiSuperisedClassifierLearner using the information in a labeled Dataset.

DatasetSemiSupervisedClassifierTeacher(SemiSupervisedDataset) - Constructor for class edu.cmu.minorthird.classify.semisupervised.DatasetSemiSupervisedClassifierTeacher

DatasetSequenceClassifierTeacher - Class in edu.cmu.minorthird.classify.sequential

Trains a SequenceClassifierLearner using the information in a labeled Dataset.

DatasetSequenceClassifierTeacher(SequenceDataset) - Constructor for class edu.cmu.minorthird.classify.sequential.DatasetSequenceClassifierTeacher

DEBUG - Static variable in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

DEBUG - Static variable in class edu.cmu.minorthird.classify.sequential.HMMLearner

debug(TextBase, File, File) - Static method in class edu.cmu.minorthird.text.gui.MixupDebugger

debug(TextBase, TextLabels, File, File) - Static method in class edu.cmu.minorthird.text.gui.MixupDebugger

debuggerOutputLabels - Variable in class edu.cmu.minorthird.ui.DebugMixup

DebugMixup - Class in edu.cmu.minorthird.ui

Run a mixup program.

DebugMixup() - Constructor for class edu.cmu.minorthird.ui.DebugMixup

DecisionTreeLearner - Class in edu.cmu.minorthird.classify.algorithms.trees

A simple decision tree learning algorithm.

DecisionTreeLearner(int, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

DecisionTreeLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

DECLARE - Static variable in class edu.cmu.minorthird.text.mixup.Statement

declareType(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

declareType(String) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

declareType(String) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Declare a new type, without asserting any spans as members.

declareType(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

decode(String) - Method in class edu.cmu.minorthird.util.StringEncoder

DEFAULT - Static variable in class edu.cmu.minorthird.text.Details

Default 'details' record for facts.

DEFAULT_PARTITION_ID - Static variable in class edu.cmu.minorthird.classify.experiments.Evaluation

DEFAULT_PATTERN - Static variable in class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

DefaultAnnotatorLoader - Class in edu.cmu.minorthird.text

Default version of AnnotatorLoader.

DefaultAnnotatorLoader() - Constructor for class edu.cmu.minorthird.text.DefaultAnnotatorLoader

defineDictionary(String, Set<String>) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Associate a dictionary with this labeling.

defineDictionary(String, List<String>, boolean) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Associate a dictionary from this file

defineDictionary(String, Set<String>) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

defineDictionary(String, List<String>, boolean) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

Associate a dictionary from this file

defineDictionary(String, Set<String>) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Associate a dictionary with this labeling.

defineDictionary(String, List<String>, boolean) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Associate a dictionary from this file

defineDictionary(String, Set<String>) - Method in class edu.cmu.minorthird.text.NestedTextLabels

defineDictionary(String, List<String>, boolean) - Method in class edu.cmu.minorthird.text.NestedTextLabels

Associate a dictionary from this file

defineTrie(List<String>) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Define a trie

defineTrie(List<String>) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

Define a trie

defineTrie(List<String>) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Define a trie

defineTrie(List<String>) - Method in class edu.cmu.minorthird.text.NestedTextLabels

Define a trie

defineTypeInside(String, Span, Iterator<Span>) - Method in class edu.cmu.minorthird.text.BasicTextLabels

defineTypeInside(String, Span, Iterator<Span>) - Method in interface edu.cmu.minorthird.text.MutableTextLabels

Make it the case that there are no spans whatsoever of the given type contained by the given span, other than those described by the given span looper.

DEFSEED1 - Static variable in class edu.cmu.minorthird.classify.algorithms.random.RandomElement

DEFSEED2 - Static variable in class edu.cmu.minorthird.classify.algorithms.random.RandomElement

degreeHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

Dependencies - Class in edu.cmu.minorthird.text

Deprecated. Use the require mechanism instead. deprecatd as of 3/9/2007

Dependencies() - Constructor for class edu.cmu.minorthird.text.Dependencies

Deprecated.

Details - Class in edu.cmu.minorthird.text

Detailed information about assertions in a TextLabels object

Details() - Constructor for class edu.cmu.minorthird.text.Details

Details(double) - Constructor for class edu.cmu.minorthird.text.Details

Details(double, Object) - Constructor for class edu.cmu.minorthird.text.Details

DictionaryTransform - Class in edu.cmu.minorthird.classify.transform

DictionaryTransform(ExampleSchema, SoftDictionary[], String[], StringDistance[][]) - Constructor for class edu.cmu.minorthird.classify.transform.DictionaryTransform

DictVersion - Class in edu.cmu.minorthird.classify.sequential

Extend a SegmenterLearner by including a dictionary.

DictVersion(BatchSegmenterLearner, File, String) - Constructor for class edu.cmu.minorthird.classify.sequential.DictVersion

DictVersion(String[], BatchSegmenterLearner, File, String) - Constructor for class edu.cmu.minorthird.classify.sequential.DictVersion

DictVersion(String[], BatchSegmenterLearner, SoftDictionary, String) - Constructor for class edu.cmu.minorthird.classify.sequential.DictVersion

differenceIterator(String) - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

differenceIterator() - Method in class edu.cmu.minorthird.text.SpanDifference

dir(String) - Method in class edu.cmu.minorthird.text.LabeledDirectory.MyCLP

DIRECTORY_NAME - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

discountFactor(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

discountFactor(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost.L

display(String) - Method in class edu.cmu.minorthird.text.gui.StatusMessage

dl - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

dnorm(double[], double, double, String) - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Evasluates a Gaussian density (mean = mu, standard deviation = sd) at each element of the vector t

dnorm(double, double, double, String) - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Evasluates a Gaussian density (mean = mu, standard deviation = sd) at t

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.AbstractAnnotator

The implementation for this method annotates labels in-line.

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.EncapsulatedAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.ExtractAbbrev

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.ConfidenceReportingSequenceAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.MultiClassifierAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.NameMatcher

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner.SegmentAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.MixupAnnotator

Right now this method executes the mixup program associated with this annotator and the caller is expected to get the results directly out of the labels set that was passed in originally.

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.StringAnnotator

doAnnotate(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.URLAnnotator

doc() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the document containing this span.

DOC_PER_FILE - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

DOC_PER_LINE - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

Document - Class in edu.cmu.minorthird.text

This class holds a single text 'document'.

Document(String, String) - Constructor for class edu.cmu.minorthird.text.Document

Document(String, String, int) - Constructor for class edu.cmu.minorthird.text.Document

documentList - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

documentMessage(int) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

documentPool() - Method in class edu.cmu.minorthird.text.learn.AnnotatorTeacher

Unlabeled instances.

documentPool() - Method in class edu.cmu.minorthird.text.learn.TextLabelsAnnotatorTeacher

documentSpan(String) - Method in class edu.cmu.minorthird.text.AbstractTextBase

documentSpan() - Method in class edu.cmu.minorthird.text.BasicSpan

A larger span containing this span.

documentSpan(String) - Method in class edu.cmu.minorthird.text.BasicTextBase

Returns a Span instance that encloses all of the tokens in the document specified by documentId.

documentSpan - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

documentSpan(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextBase

documentSpan(String) - Method in class edu.cmu.minorthird.text.MutableTextBase

documentSpan() - Method in interface edu.cmu.minorthird.text.Span

If this was a subspan, create a copy of its parent.

documentSpan(String) - Method in interface edu.cmu.minorthird.text.TextBase

Looks up the document Span for the given documentId.

documentSpanIterator() - Method in class edu.cmu.minorthird.text.AbstractTextBase

documentSpanIterator() - Method in class edu.cmu.minorthird.text.BasicTextBase

Returns a Span.Looper instance that includes a document span for every document in this TextBase.

documentSpanIterator() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextBase

documentSpanIterator() - Method in class edu.cmu.minorthird.text.MutableTextBase

documentSpanIterator() - Method in interface edu.cmu.minorthird.text.TextBase

Returns an iterator over the documents in this TextBase.

documentSpanStartIndex() - Method in class edu.cmu.minorthird.text.BasicSpan

The index of this span in the home span.

documentSpanStartIndex() - Method in interface edu.cmu.minorthird.text.Span

Find the index of this span within its document.

doExperiment() - Method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

doMain() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

doMain() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

doMain() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

doMain() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

doMain() - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

doMain() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

doMain() - Method in class edu.cmu.minorthird.ui.DebugMixup

doMain() - Method in class edu.cmu.minorthird.ui.EditLabels

doMain() - Method in class edu.cmu.minorthird.ui.OnlineLearner

doMain() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

doMain() - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

doMain() - Method in class edu.cmu.minorthird.ui.RunMixup

doMain() - Method in class edu.cmu.minorthird.ui.TestClassifier

doMain() - Method in class edu.cmu.minorthird.ui.TestExtractor

doMain() - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

doMain() - Method in class edu.cmu.minorthird.ui.TrainClassifier

doMain() - Method in class edu.cmu.minorthird.ui.TrainExtractor

doMain() - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

doMain() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

doMain() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

doMain() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

doMain() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

doMain() - Method in class edu.cmu.minorthird.ui.UIMain

Do the main action, after setting all parameters.

doMain() - Method in interface edu.cmu.minorthird.util.gui.Console.Task

DONT_CLOSE_TYPES - Static variable in class edu.cmu.minorthird.text.TextLabelsLoader

Make no assumptions about closure.

doProbabilityEstimatesHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

doRequire(MonotonicTextLabels, String, String, AnnotatorLoader) - Static method in class edu.cmu.minorthird.text.BasicTextLabels

doSearch(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

Do a beam search.

doSearch(Instance[], ClassLabel[]) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

Do a beam search, constraining the bestLabel for each classification to match the non-null values in the template.

doTrace() - Method in class edu.cmu.minorthird.text.learn.SpanFE.Result

doubleFactorials - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

downButton - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

dr - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

DUMMY_ID - Static variable in class edu.cmu.minorthird.text.gui.ViewerTracker

duplicatePrototypeLearner(OnlineClassifierLearner, int) - Static method in class edu.cmu.minorthird.classify.sequential.SequenceUtils

Create an array of n copies of the prototype learner.

E

edit(TextLabels, MutableTextLabels, String, OnlineTextClassifierLearner) - Static method in class edu.cmu.minorthird.text.gui.OnlineLearnerEditor

Pop up a frame for editing the labels.

edit(MutableTextLabels, File) - Static method in class edu.cmu.minorthird.text.gui.TextBaseEditor

Pop up a frame for editing the labels.

edit(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

editAndLabel(MutableTextLabels, File) - Static method in class edu.cmu.minorthird.text.gui.TextBaseEditorPlusLabeler

Pop up a frame for editing the labels.

editDocument(Span, String, int) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

Labels a document - unless the document has already been added to the classifier

editedDoc - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

editedSpans - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

editFile - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

editLabels - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

editLabels - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

EditLabels - Class in edu.cmu.minorthird.ui

Hand-label some documents.

EditLabels() - Constructor for class edu.cmu.minorthird.ui.EditLabels

EDITOR_PROP - Static variable in class edu.cmu.minorthird.text.gui.SpanEditor

editorHolder - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

editorOutputLabels - Variable in class edu.cmu.minorthird.ui.EditLabels

editorPane - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

edu.cmu.minorthird - package edu.cmu.minorthird

Minorthird is a collection of methods for learning to extract entities and categorize text.

edu.cmu.minorthird.classify - package edu.cmu.minorthird.classify

edu.cmu.minorthird.classify.algorithms.active - package edu.cmu.minorthird.classify.algorithms.active

edu.cmu.minorthird.classify.algorithms.knn - package edu.cmu.minorthird.classify.algorithms.knn

edu.cmu.minorthird.classify.algorithms.linear - package edu.cmu.minorthird.classify.algorithms.linear

edu.cmu.minorthird.classify.algorithms.random - package edu.cmu.minorthird.classify.algorithms.random

edu.cmu.minorthird.classify.algorithms.svm - package edu.cmu.minorthird.classify.algorithms.svm

edu.cmu.minorthird.classify.algorithms.trees - package edu.cmu.minorthird.classify.algorithms.trees

edu.cmu.minorthird.classify.experiments - package edu.cmu.minorthird.classify.experiments

edu.cmu.minorthird.classify.multi - package edu.cmu.minorthird.classify.multi

edu.cmu.minorthird.classify.ranking - package edu.cmu.minorthird.classify.ranking

edu.cmu.minorthird.classify.relational - package edu.cmu.minorthird.classify.relational

edu.cmu.minorthird.classify.semisupervised - package edu.cmu.minorthird.classify.semisupervised

edu.cmu.minorthird.classify.sequential - package edu.cmu.minorthird.classify.sequential

Machinery for sequential classification algorithms.

edu.cmu.minorthird.classify.transform - package edu.cmu.minorthird.classify.transform

edu.cmu.minorthird.text - package edu.cmu.minorthird.text

Storing and manipulating annotated text.

edu.cmu.minorthird.text.gui - package edu.cmu.minorthird.text.gui

Swing components that can be used to view and/or manually annotate text.

edu.cmu.minorthird.text.learn - package edu.cmu.minorthird.text.learn

edu.cmu.minorthird.text.learn.experiments - package edu.cmu.minorthird.text.learn.experiments

edu.cmu.minorthird.text.mixup - package edu.cmu.minorthird.text.mixup

Little language for creating annotations for text.

edu.cmu.minorthird.text.model - package edu.cmu.minorthird.text.model

Code for constructing and using language models.

edu.cmu.minorthird.ui - package edu.cmu.minorthird.ui

edu.cmu.minorthird.util - package edu.cmu.minorthird.util

edu.cmu.minorthird.util.gui - package edu.cmu.minorthird.util.gui

elevenPointPrecision() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Return eleven-point interpolated precision.

elevenPointPrecision(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

Interpolated precision at eleven recall levels: 0.0, ...

embed(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

embed(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

emit(SpanFE.StringBagResult) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Called by some SpanFE.Result subclasses when a 'pipeline' of extraction steps is ended with a StringBagResult.

emit(SpanFE.TokenSetResult) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Called by some SpanFE.Result subclass when a 'pipeline' of extraction steps is ended with a TokenSetResult.

emit(SpanFE.SpanSetResult) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Called by some SpanFE.Result subclass when a 'pipeline' of extraction steps is ended with a SpanSetResult.

emit(SpanFE.SpanResult) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Called by some SpanFE.Result subclass when a 'pipeline' of extraction steps is ended with a SpanResult.

emit() - Method in class edu.cmu.minorthird.text.learn.SpanFE.Result

Terminates a feature extraction pipeline by actually emitting features.

emit() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

emit() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

emit() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

emit() - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

EmptyLabels - Class in edu.cmu.minorthird.text

An empty text labeling.

EmptyLabels() - Constructor for class edu.cmu.minorthird.text.EmptyLabels

EncapsulatedAnnotator - Class in edu.cmu.minorthird.text

An annotator that 'requires' some type of annotation, but exports only a selected set of spanTypes (maybe all of them) from the annotated documents.

EncapsulatedAnnotator(String, String) - Constructor for class edu.cmu.minorthird.text.EncapsulatedAnnotator

EncapsulatedAnnotator(String, String, String) - Constructor for class edu.cmu.minorthird.text.EncapsulatedAnnotator

EncapsulatedAnnotator(String, String, String[]) - Constructor for class edu.cmu.minorthird.text.EncapsulatedAnnotator

EncapsulatingAnnotatorLoader - Class in edu.cmu.minorthird.text

AnnotatorLoader which contains locally a list of Annotator definitions, in the form of a list of class files, and/or mixup files.

EncapsulatingAnnotatorLoader(String) - Constructor for class edu.cmu.minorthird.text.EncapsulatingAnnotatorLoader

EncapsulatingAnnotatorLoader(boolean, String) - Constructor for class edu.cmu.minorthird.text.EncapsulatingAnnotatorLoader

EncapsulatingAnnotatorLoader.EncapsulatingClassLoader - Class in edu.cmu.minorthird.text

EncapsulatingAnnotatorLoader.EncapsulatingClassLoader() - Constructor for class edu.cmu.minorthird.text.EncapsulatingAnnotatorLoader.EncapsulatingClassLoader

encode(String) - Method in class edu.cmu.minorthird.util.StringEncoder

end() - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Teminates the REngine

END - Static variable in class edu.cmu.minorthird.text.learn.AnnotationExample

Entropy(double, double) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

compute the entropy of a binary attribute

entropy(double, double) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

compute the entropy of a binary attribute

Entropy(double[], double) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

compute the entropy of a non-binary attribute

eq() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the string value of the span.

eq() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

Move a set of all string values of spans in the set

eq() - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

Find all values of a token in this set.

equals(Object) - Method in class edu.cmu.minorthird.classify.ExampleSchema

equals(Object) - Method in class edu.cmu.minorthird.classify.Feature

Overrides equals

equals(Object) - Method in class edu.cmu.minorthird.text.BasicSpan

equals(Object) - Method in class edu.cmu.minorthird.text.TextToken

errorRate() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Error rate.

errorRate(Classifier, Dataset) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Return the error rate of a classifier on a dataset.

errorRateBalanced() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Balanced Error rate.

errorRateByClass() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Error rate by Class.

errorRateNeg() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Error rate on Negative examples.

errorRatePos() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Error rate on Positive examples.

errors() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors.

errors(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors on examples with partitionID = ID..

errorsByClass() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors for classes 1 to K.

errorsByClass(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors for classes 1 to K on examples with partitionID = ID.

errorsNeg() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors on NEGATIVE examples.

errorsNeg(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors on NEGATIVE examples with partitionID = ID.

errorsPos() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors on POSITIVE examples.

errorsPos(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Weighted total errors on POSITIVE examples with partitionID = ID.

Estimate - Class in edu.cmu.minorthird.classify.algorithms.random

Estimate(String, String, SortedMap<String, Double>) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Estimate

estimateBinomialMuDelta(double[], double[], double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimateBinomialPN(double[], double[], double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimatedSize() - Method in class edu.cmu.minorthird.text.SpanDifference.Looper

estimatedSize() - Method in class edu.cmu.minorthird.util.AbstractLooper

Estimated number of items to be iterated over, or -1 if the number is unknown.

estimateMean(double[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimateNaiveBayesMean(double, double, double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimateNaiveBayesWeightedMean(double[], double[], double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimateNegativeBinomialMuDelta(double[], double[], double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimatePoissonLambda(double, double, double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimatePoissonWeightedLambda(double[], double[], double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

estimateVar(double[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

Estimators - Class in edu.cmu.minorthird.classify.algorithms.random

Estimators() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Estimators

eval(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Effectively clears the current state and executes the current program on the specified TextLabels.

eval() - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Runs the current program on the current state of labels (current level).

eval(MonotonicTextLabels, TextBase) - Method in class edu.cmu.minorthird.text.mixup.MixupProgram

Deprecated. Use MixupInterpreter to evaluate mixup programs

eval(MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.mixup.MixupProgram

Deprecated. Use MixupInterpreter to evaluate mixup programs

EVAL_EXT - Static variable in class edu.cmu.minorthird.classify.experiments.Evaluation

EVAL_FORMAT_NAME - Static variable in class edu.cmu.minorthird.classify.experiments.Evaluation

evalNameIterator() - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

Return an iterator for the names of evaluations in the group.

evaluate(StackedBatchClassifierLearner, RealRelationalDataset, Splitter<Example>, String) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do some sort of hold-out experiment, as determined by the splitter

evaluate(ClassifierLearner, Dataset, Splitter<Example>) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do some sort of hold-out experiment, as determined by the splitter

evaluate(SequenceClassifierLearner, SequenceDataset, Splitter<Example[]>) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do some sort of hold-out experiment, as determined by the splitter

evaluate(SemiSupervisedClassifierLearner, SemiSupervisedDataset, Splitter<Example>) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do some sort of hold-out experiment, as determined by the splitter

evaluate(ClassifierLearner, Dataset, Dataset) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do a train and test experiment

evaluate(SequenceClassifierLearner, SequenceDataset, SequenceDataset) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do a train and test experiment

evaluate(SemiSupervisedClassifierLearner, SemiSupervisedDataset, SemiSupervisedDataset) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do a train and test experiment

Evaluation - Class in edu.cmu.minorthird.classify.experiments

Stores some detailed results of evaluating a classifier on data.

Evaluation(ExampleSchema) - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation

Create an evaluation for databases with this schema

evaluation() - Method in class edu.cmu.minorthird.classify.experiments.Expt

evaluation() - Method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

Evaluation.ConfusionMatrixViewer - Class in edu.cmu.minorthird.classify.experiments

Evaluation.ConfusionMatrixViewer() - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.ConfusionMatrixViewer

Evaluation.ElevenPointPrecisionViewer - Class in edu.cmu.minorthird.classify.experiments

Evaluation.ElevenPointPrecisionViewer() - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.ElevenPointPrecisionViewer

Evaluation.Matrix - Class in edu.cmu.minorthird.classify.experiments

Evaluation.Matrix(double[][]) - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.Matrix

Evaluation.MyTableCellRenderer - Class in edu.cmu.minorthird.classify.experiments

Evaluation.MyTableCellRenderer() - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.MyTableCellRenderer

Evaluation.PropertyViewer - Class in edu.cmu.minorthird.classify.experiments

Evaluation.PropertyViewer() - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.PropertyViewer

Evaluation.ROCViewer - Class in edu.cmu.minorthird.classify.experiments

Evaluation.ROCViewer() - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.ROCViewer

Evaluation.SummaryViewer - Class in edu.cmu.minorthird.classify.experiments

Evaluation.SummaryViewer() - Constructor for class edu.cmu.minorthird.classify.experiments.Evaluation.SummaryViewer

EvaluationGroup - Class in edu.cmu.minorthird.classify.experiments

A group of related evaluations.

EvaluationGroup() - Constructor for class edu.cmu.minorthird.classify.experiments.EvaluationGroup

exactSize() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Make exact length of span a feature.

Example - Class in edu.cmu.minorthird.classify

An instance that is associated with a ClassLabel.

Example(Instance, ClassLabel) - Constructor for class edu.cmu.minorthird.classify.Example

Example(Instance, ClassLabel, double) - Constructor for class edu.cmu.minorthird.classify.Example

exampleId - Variable in class edu.cmu.minorthird.classify.SGMExample

examplePool() - Method in class edu.cmu.minorthird.classify.ClassifierTeacher

Labeled instances that will be sent to the learner via a call to addExample().

examplePool() - Method in class edu.cmu.minorthird.classify.DatasetClassifierTeacher

examplePool() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

Labeled instances that will be sent to the multiLearner via a call to addExample().

examplePool() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetClassifierTeacher

examplePool() - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

examples - Variable in class edu.cmu.minorthird.classify.BasicDataset

examples - Variable in class edu.cmu.minorthird.classify.multi.MultiDataset

examples - Variable in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

ExampleSchema - Class in edu.cmu.minorthird.classify

Defines legal formats for examples.

ExampleSchema(String[]) - Constructor for class edu.cmu.minorthird.classify.ExampleSchema

Create a new scheme with the given list of validClassNames

exp(double) - Static method in class edu.cmu.minorthird.classify.sequential.HMM

experiment - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

experiment() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Justify inner product of hyperplane and instance weights.

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron.MyClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner.MyClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Justify inner product of Negative-Binomial Classifier and instance weights.

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

explain(Instance) - Method in interface edu.cmu.minorthird.classify.Classifier

Return some string that 'explains' the classification

explain(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

explain(Instance) - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedClassifier

Return some string that 'explains' the classification

explain(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

explain(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.CMM

explain(Instance) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

explain(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

Return some string that 'explains' the classification

explain(Instance) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1.MultiClassClassifier

explain(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

Return some string that 'explains' the classification, this function is also required to be re-written

explain(CandidateSegmentGroup) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner.ViterbiSegmenter

explain(CandidateSegmentGroup) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCRFLearner

Return some string that 'explains' the classification

explain(CandidateSegmentGroup) - Method in interface edu.cmu.minorthird.classify.sequential.Segmenter

Return some string that 'explains' the classification

explain(Instance[]) - Method in interface edu.cmu.minorthird.classify.sequential.SequenceClassifier

Return some string that 'explains' the classification

explain(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.TrivialSequenceClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

explain(Instance) - Method in class edu.cmu.minorthird.classify.TweakedLearner.TweakedClassifier

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.AbstractAnnotator

The implementation for this method should explain how annotation would be added to some part of the text base.

explainAnnotation(TextLabels, Span) - Method in interface edu.cmu.minorthird.text.Annotator

Explain how annotation was added to some part of the text base.

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.EncapsulatedAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.ExtractAbbrev

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.ConfidenceReportingSequenceAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.MultiClassifierAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.NameMatcher

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner.SegmentAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.MinorTagger

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.MixupAnnotator

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.POSTagger

explainAnnotation(TextLabels, Span) - Method in class edu.cmu.minorthird.text.URLAnnotator

explainFindSpans(TextLabels, Span) - Method in class edu.cmu.minorthird.text.AbstractSpanFinder

Explain how spans were found.

explainFindSpans(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.FilteredFinder

explainFindSpans(TextLabels, Span) - Method in class edu.cmu.minorthird.text.MixupFinder

explainFindSpans(TextLabels, Span) - Method in interface edu.cmu.minorthird.text.SpanFinder

Explain how spans were found.

Explanation - Class in edu.cmu.minorthird.classify

Provides a facitlity for constructing and displaying explanations for classification.

Explanation(String) - Constructor for class edu.cmu.minorthird.classify.Explanation

Explanation(Explanation.Node) - Constructor for class edu.cmu.minorthird.classify.Explanation

Explanation.Node - Class in edu.cmu.minorthird.classify

A Node in the Explanation Tree

Explanation.Node(String) - Constructor for class edu.cmu.minorthird.classify.Explanation.Node

Expt - Class in edu.cmu.minorthird.classify.experiments

Simple experiment on a classifier.

Expt(ClassifierLearner, Dataset, Dataset) - Constructor for class edu.cmu.minorthird.classify.experiments.Expt

Expt(ClassifierLearner, Dataset, Splitter<Example>) - Constructor for class edu.cmu.minorthird.classify.experiments.Expt

Expt(String[]) - Constructor for class edu.cmu.minorthird.classify.experiments.Expt

Convert a set of command-line arguments to an 'experiment' Examples: -learn \"new NaiveBayes()\" -train sample:toy -split k10 (k-fold CV) -learn \"new PoissonLearner()\" -train sample:toy -split s10 (stratified s-fold CV) -learn \"new AdaBoost(new DecisionTreeLearner())\" -train file:foo.data -split r70 -learn \"new AdaBoost()\" -train seqfile:foo.data -split r70

extend(String) - Method in class edu.cmu.minorthird.classify.ExampleSchema

Added extend method to extend the schema with new class label value

extend(Classifier, Dataset, int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Test the classifier on the examples in the dataset and store the results.

extend(SequenceClassifier, SequenceDataset) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Test the SequenceClassifier on the examples in the dataset and store the results.

extend(SemiSupervisedClassifier, SemiSupervisedDataset, int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Test the classifier on the examples in the dataset and store the results.

extend(ClassLabel, Example, int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Record the result of predicting the give class label on the given example

extend(MultiClassifier, MultiDataset) - Method in class edu.cmu.minorthird.classify.multi.MultiEvaluation

Test the classifier on the examples in the dataset and store the results.

extend(String, List<Example>, BinaryClassifier) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

extend(String, List<Example>, BinaryClassifier, Set<String>) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

extend(String, SpanDifference, boolean) - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

extend(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.Result

extend(String[], String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.Result

extend4SGM(StackedGraphicalLearner.StackedGraphicalClassifier, RealRelationalDataset, int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Test the classifier on the examples in the relational dataset and store the results.

extract(TextLabels, Iterator<Span>) - Method in class edu.cmu.minorthird.text.mixup.Mixup

Extract subspans from each generated span using the mixup expression.

ExtractAbbrev - Class in edu.cmu.minorthird.text

The ExtractAbbrev class implements a simple algorithm for extraction of abbreviations and their definitions from biomedical text.

ExtractAbbrev() - Constructor for class edu.cmu.minorthird.text.ExtractAbbrev

extractedType - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

extractedType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

extractFeatures(Span) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMSpanFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMSpanFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.FeatureBuffer

extractFeatures(Span) - Method in class edu.cmu.minorthird.text.learn.FeatureBuffer

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SampleFE.BagOfLowerCaseWordsFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SampleFE.BagOfWordsFE

extractFeatures(Span) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

extractFeatures(Span) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Implement this with a specific set of SpanFE 'pipelines'.

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Implement this with a specific set of SpanFE 'pipelines'.

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.ui.Recommended.DocumentFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

extractFeatures(TextLabels, Span) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

extractFrom(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorAnnotatorWrapper

Apply the wrapped annotator to a string, and return all substrings extracted.

extractFromTags(String, MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.BeginContinueEndUniqueReduction

Return a TextLabels in which tagged tokens are used to solve the extraction problem.

extractFromTags(String, MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.BeginContinueOutsideReduction

Return a TextLabels in which tagged tokens are used to solve the extraction problem.

extractFromTags(String, MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

Alter a TextLabels object with tagged tokens by using them to solve the extraction problem.

extractFromTags(String, MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.learn.InsideOutsideReduction

Return a TextLabels in which tagged tokens are used to solve the extraction problem.

extractInstance(Span) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Deprecated. Use extractInstance(TextLabels labels,Span s)

extractInstance(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Extract an Instance from a span

extractInstance(TextLabels, Span) - Method in interface edu.cmu.minorthird.text.learn.SpanFeatureExtractor

Extraction2TaggingReduction - Class in edu.cmu.minorthird.text.learn

A scheme for reducing an extraction task to a tagging task.

Extraction2TaggingReduction() - Constructor for class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

ExtractionEvaluation - Class in edu.cmu.minorthird.text.learn.experiments

Records results of evaluating an extraction-learning system.

ExtractionEvaluation() - Constructor for class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

ExtractorAnnotator - Interface in edu.cmu.minorthird.text.learn

An annotator that uses a learned extractor to mark up document spans.

ExtractorAnnotatorWrapper - Class in edu.cmu.minorthird.text.learn

Wraps an ExtractorAnnotator with some code to implement a simple API.

ExtractorAnnotatorWrapper(File) - Constructor for class edu.cmu.minorthird.text.learn.ExtractorAnnotatorWrapper

Construct from a file containing a serialized extractor, as would be learned by TrainExtractor.

ExtractorAnnotatorWrapper(InputStream) - Constructor for class edu.cmu.minorthird.text.learn.ExtractorAnnotatorWrapper

Construct from an InputStream containing a serialized extractor, as would be learned by TrainExtractor.

ExtractorAnnotatorWrapper(ExtractorAnnotator) - Constructor for class edu.cmu.minorthird.text.learn.ExtractorAnnotatorWrapper

Construct from an annotator that implements the ExtractorAnnotator interface.

ExtractorNameMatcher - Class in edu.cmu.minorthird.text.learn

A name matching scheme on top of a given extractor, fit for spanTypes depicting personal names.

ExtractorNameMatcher(MonotonicTextLabels) - Constructor for class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

ExtractorNameMatcher() - Constructor for class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

ExtractorNameMatcher.MyCLP - Class in edu.cmu.minorthird.text.learn

ExtractorNameMatcher.MyCLP() - Constructor for class edu.cmu.minorthird.text.learn.ExtractorNameMatcher.MyCLP

ExtractorTweaker - Class in edu.cmu.minorthird.text.learn

Allows one to adjust the parameters of a learned extractor.

ExtractorTweaker() - Constructor for class edu.cmu.minorthird.text.learn.ExtractorTweaker

ExtractorTweaker.MyCLP - Class in edu.cmu.minorthird.text.learn

ExtractorTweaker.MyCLP() - Constructor for class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

F

f1 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

f1() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

f2 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

f4 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

f5 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

factorial(int) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

factory - Variable in class edu.cmu.minorthird.classify.multi.MultiDataset

factory - Variable in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

factory - Variable in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

factory - Variable in class edu.cmu.minorthird.classify.sequential.SequenceDataset

FALSE_NEG - Static variable in class edu.cmu.minorthird.text.SpanDifference

Indicates a false negative span.

FALSE_POS - Static variable in class edu.cmu.minorthird.text.SpanDifference

Indicates a false positive span.

FancyLoader - Class in edu.cmu.minorthird.text

Configurable method of loading data objects.

FancyLoader() - Constructor for class edu.cmu.minorthird.text.FancyLoader

FastRandomTreeLearner - Class in edu.cmu.minorthird.classify.algorithms.trees

Implements a fast version of the simplest RandomTree learner possible.

FastRandomTreeLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.FastRandomTreeLearner

fe - Variable in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

fe - Variable in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

fe - Variable in class edu.cmu.minorthird.text.learn.SpanFE.Result

fe - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

fe(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

fe - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

fe(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

fe - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

fe(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

fe - Variable in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

fe(String) - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

Feature - Class in edu.cmu.minorthird.classify

A name for a feature.

Feature(String[], int) - Constructor for class edu.cmu.minorthird.classify.Feature

Create a feature with its feature ID.

Feature(String[]) - Constructor for class edu.cmu.minorthird.classify.Feature

Create a feature.

Feature(String, int) - Constructor for class edu.cmu.minorthird.classify.Feature

Create a feature.

Feature(String) - Constructor for class edu.cmu.minorthird.classify.Feature

Create a feature.

FeatureBuffer - Class in edu.cmu.minorthird.text.learn

Buffers features constructed using the SpanFE.SpanResult subclasses.

FeatureBuffer(TextLabels, Span) - Constructor for class edu.cmu.minorthird.text.learn.FeatureBuffer

FeatureBuffer(Span) - Constructor for class edu.cmu.minorthird.text.learn.FeatureBuffer

featureFactory - Variable in class edu.cmu.minorthird.classify.BasicDataset

FeatureFactory - Class in edu.cmu.minorthird.classify

Creates Features, and maintains a mapping between Features and numeric ids.

FeatureFactory() - Constructor for class edu.cmu.minorthird.classify.FeatureFactory

FeatureFactory.CompactInstance - Class in edu.cmu.minorthird.classify

A compact but immutable implementation of an instance.

FeatureFactory.CompactInstance(Instance) - Constructor for class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

Create a compact instance from some other instance

FeatureFactory.CompactInstance.FeatureArrayIterator - Class in edu.cmu.minorthird.classify

a looper over a feature array with Feature.Looper type

FeatureFactory.CompactInstance.FeatureArrayIterator(Feature[]) - Constructor for class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance.FeatureArrayIterator

FeatureFactory.CompactInstance.UnionFeatureArrayIterator - Class in edu.cmu.minorthird.classify

sequential composite of n FeatureArrayLoopers (constructor for 2)

FeatureFactory.CompactInstance.UnionFeatureArrayIterator(Feature[], Feature[]) - Constructor for class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance.UnionFeatureArrayIterator

FeatureFilter - Interface in edu.cmu.minorthird.classify.transform

featureIndex(Feature) - Method in class edu.cmu.minorthird.classify.DatasetIndex

FeatureIndex - Interface in edu.cmu.minorthird.classify

featureIndex(Feature) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

featureIterator() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Iterate over all features with non-zero weight.

featureIterator() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

featureIterator() - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

featureIterator() - Method in class edu.cmu.minorthird.classify.DatasetIndex

Iterate over all features indexed.

featureIterator() - Method in class edu.cmu.minorthird.classify.Example

Return an iterator over all features

featureIterator() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

featureIterator() - Method in interface edu.cmu.minorthird.classify.FeatureIndex

featureIterator() - Method in interface edu.cmu.minorthird.classify.Instance

Return an iterator over all features

featureIterator() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

featureIterator() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Iterate over all features indexed.

featureIterator() - Method in class edu.cmu.minorthird.classify.MutableInstance

Return an iterator over all features

featureIterator() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

featureIterator() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

featureIterator() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

featureIterator() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

featureIterator() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

Return an iterator over all available features

FeatureReweighter - Interface in edu.cmu.minorthird.classify.transform

featureScore(Feature) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Weight for a feature in the hyperplane.

featureToNode(Feature, Instance) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

converts the feature into an svm_node

feOp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

feOp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

feOp() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

FILE_NAME - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

FileChooserViewer - Class in edu.cmu.minorthird.ui

A panel with a text area and a browse button

FileChooserViewer(Viewer) - Constructor for class edu.cmu.minorthird.ui.FileChooserViewer

fileName - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

fillerGBC() - Static method in class edu.cmu.minorthird.util.gui.Viewer

Useful default case for a GridBagConstraint.

fillHistory(String[], Example[], int) - Static method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

Utility to create history from a sequence of examples, starting at positive j-1.

fillHistory(String[], ClassLabel[], int) - Static method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

Utility to create history from a sequence of class labels, starting at positive j-1.

fillHistory(String[], String[], int) - Static method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

Utility to create history from a sequence of Strings, starting at positive j-1.

filter(SpanFE.Filter) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

Filter out spans that don't match the filter.

FILTER - Static variable in class edu.cmu.minorthird.text.mixup.Statement

filter(String, TextLabels, String, String) - Method in class edu.cmu.minorthird.text.TextBaseManager

Creates a new TextBase named newLevelName from an existing TextBase named parentLevelName.

FilteredFinder - Class in edu.cmu.minorthird.text.learn

Finds spans by filtering a list of proposed candidates with a classifier.

FilteredFinder(BinaryClassifier, SpanFeatureExtractor, SpanFinder) - Constructor for class edu.cmu.minorthird.text.learn.FilteredFinder

filterFeat(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

filterFeat(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

filterFeat(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

filterFeat(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

FilterInstanceTransform - Class in edu.cmu.minorthird.classify.transform

FilterInstanceTransform() - Constructor for class edu.cmu.minorthird.classify.transform.FilterInstanceTransform

FilterTokenizer - Class in edu.cmu.minorthird.text

This implementation of the Tokenizer interface is used for filtering a text base based on a specified spantype.

FilterTokenizer(TextBaseManager, String, String) - Constructor for class edu.cmu.minorthird.text.FilterTokenizer

findAnnotator(String, String) - Method in class edu.cmu.minorthird.text.AnnotatorLoader

Find an annotator for the given annotationType, from the listed source.

findClass(String) - Method in class edu.cmu.minorthird.text.EncapsulatingAnnotatorLoader.EncapsulatingClassLoader

findClassResource(String) - Method in class edu.cmu.minorthird.text.AnnotatorLoader

Find the named resource class - usually an annotator.

findClassResource(String) - Method in class edu.cmu.minorthird.text.DefaultAnnotatorLoader

Find the named resource class - usually an annotator.

findClassResource(String) - Method in class edu.cmu.minorthird.text.EncapsulatingAnnotatorLoader

Find the named resource class - usually an annotator.

findFileResource(String) - Method in class edu.cmu.minorthird.text.AnnotatorLoader

Find the named resource file - usually a dictionary or trie for mixup.

findFileResource(String) - Method in class edu.cmu.minorthird.text.DefaultAnnotatorLoader

Find the named resource file - usually a dictionary or trie for mixup.

findFileResource(String) - Method in class edu.cmu.minorthird.text.EncapsulatingAnnotatorLoader

Find the named resource file - usually a dictionary or trie for mixup.

findSpans(TextLabels, Iterator<Span>) - Method in class edu.cmu.minorthird.text.AbstractSpanFinder

Find subspans of each span produced by the documentSpanIterator.

findSpans(TextLabels, Span) - Method in class edu.cmu.minorthird.text.AbstractSpanFinder

Find subspans of the given document span.

findSpans(TextLabels, Span) - Method in class edu.cmu.minorthird.text.learn.FilteredFinder

findSpans(TextLabels, Iterator<Span>) - Method in class edu.cmu.minorthird.text.MixupFinder

findSpans(TextLabels, Span) - Method in class edu.cmu.minorthird.text.MixupFinder

findSpans(TextLabels, Iterator<Span>) - Method in interface edu.cmu.minorthird.text.SpanFinder

Find subspans of each span produced by the documentSpanLooper.

findSpans(TextLabels, Span) - Method in interface edu.cmu.minorthird.text.SpanFinder

Find subspans of the given document span.

finished() - Method in class edu.cmu.minorthird.util.ProgressCounter

Record this task as completed.

first() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

Move to the first span in the set.

first() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

FixedTestSetSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

Provides exactly one 'split', between the entire set given, and a fixed designated test set.

FixedTestSetSplitter(Iterator<T>) - Constructor for class edu.cmu.minorthird.classify.experiments.FixedTestSetSplitter

floor(double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

fmtlog(double) - Static method in class edu.cmu.minorthird.classify.sequential.HMM

fnColor() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

foldCase - Variable in class edu.cmu.minorthird.ui.Recommended.DocumentFE

format - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

format(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

Forward - Class in edu.cmu.minorthird.classify.sequential

Forward(HMM, String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.Forward

fpColor() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

FreqAnal - Class in edu.cmu.minorthird.text.learn

Created by IntelliJ IDEA.

FreqAnal(TextLabels, String) - Constructor for class edu.cmu.minorthird.text.learn.FreqAnal

FrequencyBasedTransformLearner - Class in edu.cmu.minorthird.classify.transform

A simple feature filter based on their frequency of occurrence.

FrequencyBasedTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.FrequencyBasedTransformLearner

Default constructor, for use in gui.

FrequencyBasedTransformLearner(int) - Constructor for class edu.cmu.minorthird.classify.transform.FrequencyBasedTransformLearner

This will "learn" an InstanceTransform that discards instances which appear in minimumFrequency or fewer examples.

FrequencyBasedTransformLearner(int, String) - Constructor for class edu.cmu.minorthird.classify.transform.FrequencyBasedTransformLearner

from - Variable in class edu.cmu.minorthird.classify.relational.Link

from(Span) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Starts a 'pipeline' of extraction steps, and adds the resulting features to the instance being built.

from(Span, FeatureBuffer) - Static method in class edu.cmu.minorthird.text.learn.SpanFE

Starts a 'pipeline' of extraction steps, and adds the resulting features to the instance being built.

futureSize - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

G

Gamma - Class in edu.cmu.minorthird.classify.algorithms.random

Gamma distribution; math definition, definition of gamma function and animated definition.

Gamma(double, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Gamma

Constructs a Gamma distribution.

gamma - Variable in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

gammaHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

gen - Variable in class edu.cmu.minorthird.classify.algorithms.random.Gamma

gen - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

gen - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

GenericCollinsLearner - Class in edu.cmu.minorthird.classify.sequential

'Generic' version of Collin's voted perceptron learner.

GenericCollinsLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

GenericCollinsLearner(OnlineClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

GenericCollinsLearner(int) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

GenericCollinsLearner(OnlineClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

GenericCollinsLearner(OnlineClassifierLearner, int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

GenericCollinsLearnerV1 - Class in edu.cmu.minorthird.classify.sequential

Generic version of Collin's voted perceptron learner.

GenericCollinsLearnerV1() - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

GenericCollinsLearnerV1(OnlineBinaryClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

GenericCollinsLearnerV1(int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

GenericCollinsLearnerV1(OnlineBinaryClassifierLearner, int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

GenericCollinsLearnerV1.MultiClassClassifier - Class in edu.cmu.minorthird.classify.sequential

GenericCollinsLearnerV1.MultiClassClassifier(ExampleSchema, BinaryClassifier[]) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1.MultiClassClassifier

GenericCollinsLearnerV1.MultiClassClassifier(ExampleSchema, OnlineBinaryClassifierLearner[]) - Constructor for class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1.MultiClassClassifier

get_LabeledDataParameters() - Method in class edu.cmu.minorthird.ui.OnlineLearner

getActual(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.OnlineLearner

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.TestClassifier

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.TestExtractor

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.TrainClassifier

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.TrainExtractor

getAdditionalParameters() - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

getAggregators() - Static method in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

getAggregators() - Method in class edu.cmu.minorthird.classify.StackedClassifierTeacher

The Aggregators for stacked graphical learning

getAggregators() - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

getAllowedCandidateTypeValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getAllowedOutputFormatValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

getAllowedRepositoryKeyValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

getAllowedRepositoryKeyValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

getAllowedSpanPropValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getAllowedSpanPropValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

getAllowedSpanTypeValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getAllowedSpanTypeValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

getAllowedTestKeyValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getAllowedTokenPropValues() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

getAnnotationProvider() - Method in class edu.cmu.minorthird.text.learn.SpanFE

getAnnotationType() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

getAnnotationType() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Get the label used for annotations produced by the learner.

getAnnotationType() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

getAnnotationType() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getAnnotationType() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the type that this statement either provides or requires.

getAnnotationTypeHelp() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Return the learned annotator.

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Return the learned annotator

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

Learning takes place here.

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.ExtractorAnnotatorWrapper

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

getAnnotator() - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Return the learned annotator.

getAnnotator() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

Return the learned annotator.

getAnnotatorLoader() - Method in class edu.cmu.minorthird.text.BasicTextLabels

Returns the current loader used to locate annotators.

getAnnotatorLoader() - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

getAnnotatorLoader() - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Get the current AnnotatorLoader.

getAnnotatorLoader() - Method in class edu.cmu.minorthird.text.NestedTextLabels

getAnnotatorOutputParams() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

getAnnotatorOutputParams() - Method in class edu.cmu.minorthird.ui.RunMixup

getApplyAnnotatorHelp() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

getAssociatedIds() - Method in interface edu.cmu.minorthird.text.Trie.ResultIterator

Return a list of the ids associated with the span in the Trie

getBaseLearner() - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

getBaseParameters() - Method in class edu.cmu.minorthird.ui.UIMain

getBatchLoadFactor() - Method in class edu.cmu.minorthird.classify.OnlineVersion

getBeamInstance(Instance, int) - Static method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

getBeta() - Method in class edu.cmu.minorthird.classify.TweakedLearner

getBinaryClassifier() - Method in class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

Get the last-trained a binary classifier.

getBinaryClassifier() - Method in class edu.cmu.minorthird.classify.BinaryBatchVersion

getBinaryClassifier() - Method in interface edu.cmu.minorthird.classify.BinaryClassifierLearner

getBinaryClassifier() - Method in class edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner

getBinaryClassifiers() - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

getBinaryClassifiers(ClassifierLearner[]) - Static method in class edu.cmu.minorthird.classify.sequential.SequenceUtils.MultiClassClassifier

getBootstrapLearner() - Method in class edu.cmu.minorthird.classify.OnlineVersion

getCacheSize() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCacheSizeHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCandidateType() - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

If non-null, the spanType corresponding to candidate spans to be classified.

getCandidateType() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getCandidateTypeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getCharOffset() - Method in class edu.cmu.minorthird.text.BasicSpan

getCharOffset() - Method in interface edu.cmu.minorthird.text.Span

getChiSquared() - Method in class edu.cmu.minorthird.classify.transform.ContingencyTable

getClasses() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BBMira

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron

getClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow

getClassifier() - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.CascadingBinaryLearner

getClassifier() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Return the learned classifier.

getClassifier() - Method in class edu.cmu.minorthird.classify.experiments.ClassifiedDataset

getClassifier() - Method in class edu.cmu.minorthird.classify.experiments.Expt

getClassifier() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.MostFrequentFirstLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset

getClassifier() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

Returns the classifier for the first dimension

getClassifier() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

Subclasses should use this method to return the current classifier.

getClassifier() - Method in class edu.cmu.minorthird.classify.OnlineVersion

getClassifier() - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

getClassifier() - Method in class edu.cmu.minorthird.classify.sequential.ClassifiedSequenceDataset

getClassifier() - Method in class edu.cmu.minorthird.classify.sequential.CMM

getClassifier() - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

getClassifier() - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

getClassifier() - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Returns the Classifier

getClassifierFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

getClassifierLearner() - Method in class edu.cmu.minorthird.classify.BinaryClassifier

getClassifierLearner() - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

getClassifiers() - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

getClassifiers() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

getClassifiers() - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

getClassIndex(String) - Method in class edu.cmu.minorthird.classify.ExampleSchema

Return index of this class name, or -1 if it's not valid.

getClassName(int) - Method in class edu.cmu.minorthird.classify.ExampleSchema

Return i-th valid class name.

getClassName(Span) - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

Return the name of the class associated with this span.

getClassNames() - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

getCLP() - Method in class edu.cmu.minorthird.classify.experiments.Expt

getCLP() - Method in class edu.cmu.minorthird.classify.ranking.RankingExpt

getCLP() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

getCLP() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

getCLP() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

getCLP() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

getCLP() - Method in class edu.cmu.minorthird.text.LabeledDirectory

Return a CommandLineProcessor that be used to configure a LabeledDirectory

getCLP() - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

getCLP() - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker

getCLP() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

getCLP() - Method in class edu.cmu.minorthird.ui.DebugMixup

getCLP() - Method in class edu.cmu.minorthird.ui.EditLabels

getCLP() - Method in class edu.cmu.minorthird.ui.OnlineLearner

getCLP() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

getCLP() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

getCLP() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

getCLP() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

getCLP() - Method in class edu.cmu.minorthird.ui.RunMixup

getCLP() - Method in class edu.cmu.minorthird.ui.TestClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.TestExtractor

getCLP() - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.TrainClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.TrainExtractor

getCLP() - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getCLP() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

getCLP() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

getCLP() - Method in interface edu.cmu.minorthird.util.CommandLineProcessor.Configurable

Produce a command-line processor that configures this object.

getCoef0() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCoef0Help() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getColor(String) - Method in class edu.cmu.minorthird.text.gui.MarkupControls

Tell the ControlledViewer what color is associated with a type.

getColor(String, String) - Method in class edu.cmu.minorthird.text.gui.MarkupControls

Tell the ControlledViewer what color is associated with a property/value pair

getColor(String) - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

Tell the ControlledViewer what color is associated with a type.

getColor(String, String) - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

Tell the ControlledViewer what color is associated with a property/value pair

getColoredProperties() - Method in class edu.cmu.minorthird.text.gui.MarkupControls

getColoredProperties() - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

getColoredValues(String) - Method in class edu.cmu.minorthird.text.gui.MarkupControls

getColoredValues(String) - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

getCompensatedPMutualInfo(int) - Method in class edu.cmu.minorthird.classify.transform.ContingencyTable

getCompressDataset() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

If set, try and compress the data.

getCompressDatasetHelp() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getConfidence() - Method in class edu.cmu.minorthird.text.Details

getContent() - Method in class edu.cmu.minorthird.util.gui.Viewer

Get the object being displayed, as determined by the last call to setContent().

getControlledViewer() - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Return the viewer that is controlled by this object.

getControls() - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

getCounts(Feature, int) - Method in class edu.cmu.minorthird.classify.BasicFeatureIndex

Get counts of feature f in i-th example containing feature f

getCounts(Feature, String) - Method in class edu.cmu.minorthird.classify.BasicFeatureIndex

Get counts of feature f in examples with label l

getCounts(Feature, int) - Method in interface edu.cmu.minorthird.classify.FeatureIndex

Get counts of feature f in i-th example containing feature f

getCParameter() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCParameterHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCParameterWeight() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCParameterWeightHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getCross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

getCross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getCross() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getCross() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

getCrosshelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getCrosshelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getCrosshelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

getCrossHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

getCrossValSplits() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

getCrossValSplits() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

getCurrentLabels() - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Returns the TextLabels associated with the current level

getCurrentLevel() - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Returns the name of the current level or null if no TextLabels have been added or created because the program has not yet been evaluated.

getDataset() - Method in class edu.cmu.minorthird.classify.experiments.ClassifiedDataset

getDataset() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset

getDatasetFeatures(Dataset) - Static method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests

Return a vector of all features in the dataset.

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

getDatasetFilename() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

getDatasetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getDatasetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getDatasetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

getDatasetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getDatasetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

getDatasetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getDebugMixupHelp() - Method in class edu.cmu.minorthird.ui.DebugMixup

getDefaultDir() - Method in class edu.cmu.minorthird.ui.FileChooserViewer

getDefaultParameters() - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

sets the default parameters for the svm

use the setParameterXXX methods to adjust them

getDegree() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getDegreeHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getDependency(String) - Static method in class edu.cmu.minorthird.text.Dependencies

Deprecated. Return the file required for this dependency

getDetails(Span, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

getDetails(Span, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

getDetails(Span, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getDetails(Span) - Method in class edu.cmu.minorthird.text.learn.FilteredFinder

getDetails(Span) - Method in class edu.cmu.minorthird.text.MixupFinder

getDetails(Span, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

getDetails(Span) - Method in interface edu.cmu.minorthird.text.SpanFinder

Return 'details' about some span found by the previous call to findSpans(Span documentSpan).

getDetails(Span, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Retrieve additional information associated with an assertion 'span S has type T'.

getDFraction() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

getDisplayDatasetBeforeLearning() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

If set, try and pop up an interactive viewer of the sequential dataset before learning.

getDisplayDatasetBeforeLearning() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

If set, try and pop up an interactive viewer of the sequential dataset before learning.

getDisplayDatasetBeforeLearningHelp() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getDisplayDatasetBeforeLearningHelp() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

getDisplayedTypeBox() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer

getDocCounts(Feature, String) - Method in class edu.cmu.minorthird.classify.BasicFeatureIndex

Get number of documents which contain feature f with label l

getDocument(String) - Method in class edu.cmu.minorthird.text.AbstractTextBase

getDocument(String) - Method in class edu.cmu.minorthird.text.BasicTextBase

Returns the Document instance that corresponds to the specified documentId or null if no document exists with the specified documentId.

getDocument(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextBase

getDocument(String) - Method in class edu.cmu.minorthird.text.MutableTextBase

getDocument(String) - Method in interface edu.cmu.minorthird.text.TextBase

Returns the Document with the given ID

getDocument() - Method in class edu.cmu.minorthird.text.TextToken

getDocumentContents() - Method in class edu.cmu.minorthird.text.BasicSpan

getDocumentContents() - Method in interface edu.cmu.minorthird.text.Span

Return a string containing the entire content of the document that this span lives in.

getDocumentGroupId() - Method in class edu.cmu.minorthird.text.BasicSpan

getDocumentGroupId() - Method in interface edu.cmu.minorthird.text.Span

Return the id of the group of documents this span belongs to

getDocumentId() - Method in class edu.cmu.minorthird.text.BasicSpan

getDocumentId() - Method in interface edu.cmu.minorthird.text.Span

Return the name of the document for these TextToken's.

getDocumentId() - Method in class edu.cmu.minorthird.text.TextToken

getDocumentList() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer

getDocumentSpan() - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

getDoProbabilityEstimates() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getDoProbabilityEstimatesHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getEditFilename() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

getEditFilenameHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

getEditLabelsHelp() - Method in class edu.cmu.minorthird.ui.EditLabels

getEditor() - Method in class edu.cmu.minorthird.text.gui.MixupDebugger

getEditParameters() - Method in class edu.cmu.minorthird.ui.DebugMixup

getEditParameters() - Method in class edu.cmu.minorthird.ui.EditLabels

getEmbeddedAnnotators() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getEmbeddedAnnotators() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getEmbeddedAnnotatorsHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getEmbeddedAnnotatorsHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getEndFinder() - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

Return something that finds ends (for debugging).

getEpochs() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

getEvaluation() - Method in class edu.cmu.minorthird.classify.experiments.CrossValidatedDataset

getEvaluation(String) - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

Return the evaluation associated with this name.

getEvaluation() - Method in class edu.cmu.minorthird.classify.multi.MultiCrossValidatedDataset

getEvaluation() - Method in class edu.cmu.minorthird.classify.sequential.CrossValidatedSequenceDataset

getEvaluation() - Method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

getExample(Feature, int) - Method in class edu.cmu.minorthird.classify.DatasetIndex

Get i-th example containing feature f.

getExample(String, int) - Method in class edu.cmu.minorthird.classify.DatasetIndex

Get i-th example with given class label.

getExample(Feature, int) - Method in interface edu.cmu.minorthird.classify.FeatureIndex

Get i-th example contained in feature f

getExample(int) - Method in class edu.cmu.minorthird.classify.RandomAccessDataset

getExampleID() - Method in class edu.cmu.minorthird.classify.SGMExample

Get the ExampleID

getExamples() - Method in class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

Get Support Vectors of svm_model in array of MINORTHIRD Example format.

getExamples() - Method in class edu.cmu.minorthird.classify.multi.MultiExample

Returns this MultiExample as separate Example's

getExampleWeightLabels() - Method in class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

Get Weight Labels of Example return m X n String array, m = # of examples, n = # of corresponding hyperplanes

getExampleWithID(String) - Method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron.MyClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner.MyClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

getExplanation(Instance) - Method in interface edu.cmu.minorthird.classify.Classifier

Return an Explanation for the classification

getExplanation() - Method in class edu.cmu.minorthird.classify.Explanation

Returns the component to be displayed in the Explanation Panel of the Result.

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

getExplanation(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

getExplanation(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.CMM

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

getExplanation(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1.MultiClassClassifier

getExplanation(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

getExplanation(Instance[]) - Method in interface edu.cmu.minorthird.classify.sequential.SequenceClassifier

Return and explanation for a classification

getExplanation(Instance[]) - Method in class edu.cmu.minorthird.classify.sequential.TrivialSequenceClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

getExplanation(Instance) - Method in class edu.cmu.minorthird.classify.TweakedLearner.TweakedClassifier

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.BasicDataset

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

getExtensionFor(String) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

getExtensionFor(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

getExtensionFor(String) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

getExtensionFor(String) - Method in interface edu.cmu.minorthird.util.Saveable

Recomended extension for the format with the given name.

getExtractedType() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

getExtractedTypeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

getFactory() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

getFE() - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

The feature extractor applied to candidate spans.

getFE() - Method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

getFE() - Method in class edu.cmu.minorthird.text.learn.MultiClassifierAnnotator

The feature extractor applied to candidate spans.

getFeature(Feature) - Method in class edu.cmu.minorthird.classify.FeatureFactory

getFeature(String) - Method in class edu.cmu.minorthird.classify.FeatureFactory

getFeature(String[]) - Method in class edu.cmu.minorthird.classify.FeatureFactory

getFeature(int) - Method in class edu.cmu.minorthird.classify.FeatureFactory

getFeatureExtractor() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getFeatureExtractor() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getFeatureExtractor() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

getFeatureExtractorHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getFeatureFactory() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

getFeatureFactory() - Method in class edu.cmu.minorthird.classify.BasicDataset

getFeatureFactory() - Method in interface edu.cmu.minorthird.classify.Dataset

Get the FeatureFactory associated with the dataset

getFeatureFactory() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

getFeatureFactory() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

getFeatureFactory() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

getFeatureFactory() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

getFeatureModel(Feature) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

getFeatureModel(Feature) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

getFeatureValue(Instance, String[]) - Static method in class edu.cmu.minorthird.classify.transform.DictionaryTransform

If feature pattern is of the form x.y.z and there is a feature of the form x.y.z.a, return the string "a".

getFeatureWindowSize() - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

getFeatureWindowSize() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

getFeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getFilesToLoad() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns a list of the files that need to be loaded if this Statement defines a dictionary.

getFileToLoad() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the file that needs to be loaded in this Statement is an ANNOTATE_WITH or REQUIRE statement.

getFlag() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

getFoldCase() - Method in class edu.cmu.minorthird.ui.Recommended.DocumentFE

getFormatNames() - Method in class edu.cmu.minorthird.classify.BasicDataset

getFormatNames() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

getFormatNames() - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

getFormatNames() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

getFormatNames() - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

getFormatNames() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

getFormatNames() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

getFormatNames() - Method in class edu.cmu.minorthird.text.BasicTextLabels

getFormatNames() - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

getFormatNames() - Method in interface edu.cmu.minorthird.util.Saveable

List of formats in which the object can be saved.

getFrequency(String) - Method in class edu.cmu.minorthird.text.model.UnigramModel

getFrom() - Method in class edu.cmu.minorthird.classify.relational.Link

get the from ExampleID

getFutureSize() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

Number of instances after the current target for which the predicted class will be used as a feature.

getGamma() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getGammaHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getGuessBox() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer

getGuessLabels() - Static method in class edu.cmu.minorthird.text.SampleTextBases

getHi() - Method in class edu.cmu.minorthird.text.TextToken

getHiChar() - Method in class edu.cmu.minorthird.text.BasicSpan

Returns how many characters there are up to and including the span

getHiChar() - Method in interface edu.cmu.minorthird.text.Span

Returns the Char index of where the span ends in the document

getHistory(List<ClassLabel>) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.CMM

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.CMMLearner

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.HMMLearner

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

getHistorySize() - Method in interface edu.cmu.minorthird.classify.sequential.SequenceClassifierLearner

Return the number of previous predictions used as features in learning.

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Return the current history length.

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

Number of instances before the current target for which the predicted class will be used as a feature.

getHistorySize() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

Number of instances before the current target for which the predicted class will be used as a feature.

getHistorySize() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getHistorySize() - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

getHistorySizeHelp() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

getHScore(String) - Method in class edu.cmu.minorthird.text.learn.FreqAnal

getHyperplane(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

Get Hyperplane from the Hyperplane array

getHyperplaneLabel(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

Get Hyperplane label from the Hyperplane labels array

getHyperplaneNormSquared(Hyperplane) - Method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

getHyperplanes() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

getID() - Method in class edu.cmu.minorthird.classify.Feature

getID(Feature) - Method in class edu.cmu.minorthird.classify.FeatureFactory

getId() - Method in class edu.cmu.minorthird.text.Document

getIgnoreCase() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns whether or not this statement will ignore case when defining a dictionary.

getImportLevel() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the level that this statement will import from in a call to importFromLevel.

getImportType() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the type that imported spans should be called when this statement executes an importFromLevel call.

getInner() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleOuter

getInnerLearner() - Method in class edu.cmu.minorthird.classify.BatchVersion

getInnerLearner() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

getInnerLearner() - Method in class edu.cmu.minorthird.classify.OnlineVersion

getInnerLearner() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

getInnerLearner() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

getInnerLearner() - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

getInnerLearner() - Method in class edu.cmu.minorthird.classify.StackedLearner

getInnerLearner() - Method in class edu.cmu.minorthird.classify.TweakedLearner

getInputLabel() - Method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

getInputProp() - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

getInputType() - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

getInstance() - Method in class edu.cmu.minorthird.text.learn.FeatureBuffer

getK() - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

getKernelType() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getKernelTypeHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getKeyword() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the keyword that defines what this Statement does.

getLabel(int) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

getLabel() - Method in class edu.cmu.minorthird.classify.Example

get the label associated with the underlying object

getLabel() - Method in class edu.cmu.minorthird.classify.multi.MultiExample

Returns the first label

getLabel(int) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

getLabels() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

getLabels() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

Returns whether base.labels exits

getLabels() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

Returns whether base.labels exits

getLabels() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

Returns whether base.labels exits

getLabels() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

Returns whether base.labels exits

getLabels() - Method in class edu.cmu.minorthird.text.gui.SpanViewer

getLabels() - Method in class edu.cmu.minorthird.text.gui.SpanViewer.IdViewer

getLabels() - Method in class edu.cmu.minorthird.text.gui.TextLabelsViewer

getLabels() - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

getLabels() - Method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

getLabels() - Method in class edu.cmu.minorthird.text.learn.FreqAnal

getLabels() - Method in class edu.cmu.minorthird.text.TextBaseLoader

get labeling generated by tags in data file

getLabels() - Method in class edu.cmu.minorthird.ui.UIMain

Returns whether base.labels exits

getLabels() - Method in interface edu.cmu.minorthird.util.gui.Console.Task

getLabelsFilename() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

getLabelsFilename() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

getLabelsFilename() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

getLabelsFilenameHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

getLabelsFilenameHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

getLabelsForLevel(String) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Returns the TextLabels associated with the given level name or null if the level doesn't exist

getLearner() - Method in class edu.cmu.minorthird.classify.ClassifierLearnerFactory

Build a new copy of the learner produced by this factory.

getLearner() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.ClassifierLearner

getLearner() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

getLearner() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getLearner() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getLearner() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getLearnerHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getLearnerHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getLearnerHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getLearnerInSequentialMode() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.SequentialLearner

getLearnerParameters() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getLearnerParameters() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

getLearnerParameters() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getLearnerParameters() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

getLearnerParameters() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getLearnerParametersHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getLearnerParametersHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getLearnerParametersHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

getLearnerParametersHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getLearnerParametersHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

getLearnerParametersHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getLeftBoundary() - Method in class edu.cmu.minorthird.text.BasicSpan

A length-zero span for the left boundary

getLeftBoundary() - Method in interface edu.cmu.minorthird.text.Span

A length-zero span for the left boundary

getLength(Example) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Get the total number of words in an Example

getLength(Example) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

Get the total number of words in an Example

getLength(Example) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Get the total number of words in an Example

getLength() - Method in class edu.cmu.minorthird.text.CharAnnotation

getLength() - Method in class edu.cmu.minorthird.text.TextToken

getLevel() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the level name to be used when this statement is performing a level operation (onLevel, offLeve, defLevel, importFromLevel)

getLinkFile() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

getLinkFileHelp() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

getLinksMap() - Static method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

getLinksMap() - Method in class edu.cmu.minorthird.classify.StackedClassifierTeacher

The linkMaps for stacked graphical learning

getLinksMap() - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

getLo() - Method in class edu.cmu.minorthird.text.TextToken

getLoadAnnotatorParameters() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

getLoadFrom() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

getLoadFrom() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

getLoadFromHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

getLoadFromHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getLoChar() - Method in class edu.cmu.minorthird.text.BasicSpan

Returns how many characters are before the span in the document

getLoChar() - Method in interface edu.cmu.minorthird.text.Span

Returns the Char index of where the span starts in the document

getLogLikelihood(Example) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

getLogLikelihood(Example) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

getLogSpace() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

getLossFunctionEpsilon() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getLossFunctionEpsilonHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getLoTextToken() - Method in class edu.cmu.minorthird.text.BasicSpan

getLoTextToken() - Method in interface edu.cmu.minorthird.text.Span

Returns the low text token

getMainComponent() - Method in class edu.cmu.minorthird.util.gui.Console

The outermost component of the console.

getMainResult() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

getMainResult() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

getMainResult() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

getMainResult() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

getMainResult() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

getMainResult() - Method in class edu.cmu.minorthird.ui.DebugMixup

getMainResult() - Method in class edu.cmu.minorthird.ui.EditLabels

getMainResult() - Method in class edu.cmu.minorthird.ui.OnlineLearner

getMainResult() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.RunMixup

getMainResult() - Method in class edu.cmu.minorthird.ui.TestClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.TestExtractor

getMainResult() - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainExtractor

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

getMainResult() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

getMainResult() - Method in class edu.cmu.minorthird.ui.UIMain

Return the result of the action.

getMainResult() - Method in interface edu.cmu.minorthird.util.gui.Console.Task

getMatchingSpan(String, String, int, int, String) - Method in class edu.cmu.minorthird.text.TextBaseManager

Sometimes you may not have a source span, but rather only have a char offset in the source doc.

getMatchingSpan(Span, String, String) - Method in class edu.cmu.minorthird.text.TextBaseManager

Finds a mapping path from the source text base to the destination textbase and translates the specified span through each successive mapping until the coresponding span in the destination text base is located.

getMaxBeamSize() - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

getMaxDepth() - Method in class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

getMaxFeatureIndex() - Method in class edu.cmu.minorthird.classify.FeatureFactory

getMaxIters() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getMaxItersHelp() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getMaxRounds() - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

getMaxSegmentSize() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

getMaxWindowSize() - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the maximum segment length.

getMaxWindowSize() - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

getMaxWindowSize() - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

getMaxWindowSize() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

getMessageLines(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Method to split a message (string format) into lines

getMinBatchTrainingSize() - Method in class edu.cmu.minorthird.classify.OnlineVersion

getMinSplitCount() - Method in class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

getMixup() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getMixup() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getMixupExpr() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the mixup expression that this statement will execute.

getMixupHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

getMixupHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getMixupHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getMixupParameters() - Method in class edu.cmu.minorthird.ui.DebugMixup

getMixupParameters() - Method in class edu.cmu.minorthird.ui.RunMixup

getMixupProgramFilename() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

getModel() - Method in class edu.cmu.minorthird.classify.algorithms.random.Estimate

getMulti() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

getMulti() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getMulti() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getMultiClassifier() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

getMultiClassifier() - Method in class edu.cmu.minorthird.text.learn.MultiClassifierAnnotator

getMultiExample(int) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

getMultiExample(Feature, int) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Get i-th example containing feature f.

getMultiExample(String, int) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Get i-th example with given class label.

getMultiHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

getMultiHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getMultiHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

getMultiLabel() - Method in class edu.cmu.minorthird.classify.multi.MultiExample

get the label associated with the underlying object

getMultiSchema() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

getMultiSchema() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

getMultiSpanProperty() - Method in class edu.cmu.minorthird.text.learn.MultiClassifierAnnotator

If non-null, the property used to encode the output of the classifier.

getMultiSpanPropFile() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

getMultiSpanPropFileHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

getName() - Method in class edu.cmu.minorthird.classify.Feature

getName() - Method in class edu.cmu.minorthird.text.learn.SpanFE.Filter

A short name, used to help construct feature names associated with this filter.

getName() - Method in class edu.cmu.minorthird.text.learn.SpanFE.Function

A short name, used to help construct feature names associated with this filter.

getName() - Method in class edu.cmu.minorthird.text.learn.SpanFE.Result

getName() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

getNamedSubView(String) - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

getNamedSubView(String) - Method in class edu.cmu.minorthird.util.gui.Viewer

Retrieve a subview by name.

getNegDelta(Feature) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Get mu corresponding to the Positive examples of feature f

getNegMu(Feature) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Get mu corresponding to the Positive examples of feature f

getNeighbors(Instance) - Method in class edu.cmu.minorthird.classify.DatasetIndex

Get all examples with a feature in common with the given instance.

getNeighbors(Instance) - Method in interface edu.cmu.minorthird.classify.FeatureIndex

Get all examples containing a feature.

getNeighbors(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Get all examples with a feature in common with the given instance.

getNewBias() - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker

Return the value of bias term after the last tweak.

getNonDefaultTagValues() - Method in class edu.cmu.minorthird.text.learn.BeginContinueEndUniqueReduction

getNonDefaultTagValues() - Method in class edu.cmu.minorthird.text.learn.BeginContinueOutsideReduction

getNonDefaultTagValues() - Method in class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

Get all the tag values that were used.

getNonDefaultTagValues() - Method in class edu.cmu.minorthird.text.learn.InsideOutsideReduction

getNormSquared(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

getNormSquared(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

getNu() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getNuHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getNumberOfClasses() - Method in class edu.cmu.minorthird.classify.ExampleSchema

Return number of valid class names

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.BatchVersion

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.sequential.HMMLearner

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

getNumberOfEpochs() - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

getNumberOfFolds() - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

getNumberOfFolds() - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

getNumberOfMistakes() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

Report the number of mistakes made by the inner learner.

getNumberOfSegmentGroups() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

getNumberOfSolutionsFound() - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

Return the number of solutions found in the beam.

getNumDim() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

getNumPartitions() - Method in interface edu.cmu.minorthird.classify.Dataset.Split

Return the number of partitions

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.FixedTestSetSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

getNumPartitions() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset.MultiSplit

getNumPartitions() - Method in interface edu.cmu.minorthird.classify.Splitter

Return the number of partitions produced by the last call to split()

getNumPosExamples() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

getNumPosExamples() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

getNumPosExamples() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

getNumPosExamples() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

getOffset() - Method in class edu.cmu.minorthird.text.CharAnnotation

getOldBias() - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker

Return the value of bias term before the last tweak.

getOldType() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the type from the source level that should be imported when this statement executes an importFromLevel call.

getOnlineClassifierDocumentEditor() - Method in class edu.cmu.minorthird.text.gui.OnlineLearnerEditor

getOriginalGuessSpan() - Method in class edu.cmu.minorthird.text.SpanDifference.Looper

Guess span that support this difference.

getOutput() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getOutput() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getOutput() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getOutputFormat() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

getOutputFormatHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

getOutputHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getOutputHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

getOutputHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getOutputProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getOutputType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getOutputType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

getPanel(String, String, String) - Method in class edu.cmu.minorthird.util.gui.LineCharter

Get a panel showing the curves, with the given axis labels and title.

getParameterization() - Method in class edu.cmu.minorthird.classify.algorithms.random.Estimate

getParameterSVMType() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getParameterSVMTypeHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getParams() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

getParams() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

getParent() - Method in class edu.cmu.minorthird.text.CompoundTokenizer

getPart(int) - Method in class edu.cmu.minorthird.classify.Feature

getPath() - Method in class edu.cmu.minorthird.classify.sequential.Viterbi

getPatt() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the pattern that is used to create a new level when this statement is defining a new level.

getPhraseList() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the phrase list for when this statement will define a trie.

getPms() - Method in class edu.cmu.minorthird.classify.algorithms.random.Estimate

getPMutualInfo() - Method in class edu.cmu.minorthird.classify.transform.ContingencyTable

getPosDelta(Feature) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Get mu corresponding to the Positive examples of feature f

getPosMu(Feature) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Get mu corresponding to the Positive examples of feature f

getPossibleTextLabelKeys() - Static method in class edu.cmu.minorthird.text.FancyLoader

Return an array of a possible arguments to FancyLoader.loadTextLabels()

getPrediction(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

getPrior() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

getPrior() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

getProbability(String) - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the probability of a label.

getProbability(String[]) - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the probability of a label.

getProgram() - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Returns the MixupProgram that this interpreter will execute if the eval method is called.

getProperty(String) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

getProperty(Token, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Get the property value associated with this Token.

getProperty(Span, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Get the property value associated with this Span.

getProperty(Token, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

getProperty(Span, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

getProperty(String) - Static method in class edu.cmu.minorthird.text.FancyLoader

getProperty(Token, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getProperty(Span, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getProperty() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the property that this statement matches

getProperty(Token, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

getProperty(Span, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

getProperty(Token, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Get the property value associated with this TextToken.

getProperty(Span, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Get the value of the named property which has been associated with this Span.

getRawClassifier() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner.MyClassifier

getReduction() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

getReduction() - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

getRegex() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the regex string that will be executed by this statement.

getRegexGroup() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the regex group that will be returned when this statement executes.

getRepositoryKey() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

getRepositoryKey() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

getRequiredAnnotation() - Method in interface edu.cmu.minorthird.text.learn.MixupCompatible

Retrieve the annotation required by this SpanFeatureExtractor.

getRequiredAnnotation() - Method in class edu.cmu.minorthird.text.learn.SpanFE

getRightBoundary() - Method in class edu.cmu.minorthird.text.BasicSpan

A length-zero span for the left boundary

getRightBoundary() - Method in interface edu.cmu.minorthird.text.Span

A length-zero span for the left boundary

getRunMixupHelp() - Method in class edu.cmu.minorthird.ui.RunMixup

getSaveAs() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

getSaveAsFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

getSaveAsFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

getSaveAsHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

getSaveParameters() - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

getSaveParameters() - Method in class edu.cmu.minorthird.ui.RunMixup

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TestClassifier

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TestExtractor

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainClassifier

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainExtractor

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

getSaveParameters() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

getSchema() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

getSchema() - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

getSchema() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

getSchema() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

getSchema() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

getSchema() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getSchema() - Method in class edu.cmu.minorthird.classify.BasicDataset

getSchema() - Method in class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

getSchema() - Method in class edu.cmu.minorthird.classify.BatchVersion

getSchema() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Returns the ExampleSchema - constraints on what the Examples will be.

getSchema() - Method in interface edu.cmu.minorthird.classify.Dataset

Get the schema associated with the dataset

getSchema() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Returns whether the ExampleSchema this Evaluation is based upon

getSchema() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

getSchema() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

Overridden, provides ExampleSchema for first dimension

getSchema() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

getSchema() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

getSchema() - Method in class edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner

getSchema() - Method in class edu.cmu.minorthird.classify.OnlineVersion

getSchema() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

getSchema() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

getSchema() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

getSchema() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

getSchema() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getSchema() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

getSchema() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

getSchema() - Method in class edu.cmu.minorthird.classify.sequential.SequenceUtils.MultiClassClassifier

getSchema() - Method in class edu.cmu.minorthird.classify.StackedLearner

getSchema() - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

getSchemas() - Method in class edu.cmu.minorthird.classify.multi.MultiExampleSchema

getScore(String) - Method in class edu.cmu.minorthird.text.BOWClassifierWrapper

Deprecated.

getSeed() - Method in class edu.cmu.minorthird.classify.algorithms.random.RandomElement

getSemiMarkovLearner() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getSemiMarkovLearnerHelp() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getSequenceClassifier() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

getSequenceClassifierLearner() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

getSequenceClassifierLearnerHelp() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

getSequenceDataset() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Get the constructed sequence data.

getSequenceLength() - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the length of the original sequence that the segments were derived from.

getSequenceLength() - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

getSequenceLength() - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

getSerializableContent() - Method in class edu.cmu.minorthird.util.gui.Viewer

getShowClassifier() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getShowClassifierHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getShowData() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

getShowData() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getShowData() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getShowData() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getShowDataHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

getShowDataHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getShowDataHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

getShowDataHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

getShowExtractor() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestExtractorParams

getShowTestDetails() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

getShowTestDetails() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getShowTestDetails() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getShowTestDetailsHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

getShowTestDetailsHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getShowTestDetailsHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

getSignalParameters() - Method in class edu.cmu.minorthird.ui.OnlineLearner

getSignalParameters() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TestClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TestExtractor

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainExtractor

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

getSignalParameters() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

getSource() - Method in class edu.cmu.minorthird.classify.AbstractInstance

Return the underlying object being represented.

getSource() - Method in class edu.cmu.minorthird.classify.Example

Get the underlying object

getSource() - Method in interface edu.cmu.minorthird.classify.Instance

Get the underlying object used that this instance describes

getSource() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

getSource() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

getSource() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

getSource() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

getSource() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

getSourceAssignedToExample(String, int) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

The value that will be returned by example.getSource() for the example read in from the designated location.

getSpan() - Method in class edu.cmu.minorthird.text.gui.SpanViewer.ControlledTextViewer

getSpan() - Method in class edu.cmu.minorthird.text.gui.SpanViewer

getSpan() - Method in class edu.cmu.minorthird.text.gui.SpanViewer.IdViewer

getSpan() - Method in class edu.cmu.minorthird.text.gui.SpanViewer.TokenViewer

getSpan() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

getSpanDifference() - Method in class edu.cmu.minorthird.text.gui.MarkupControls

Export a span difference to the controlled Span Viewer.

getSpanDifference() - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

Export a span difference to the controlled Span Viewer.

getSpanEditor() - Method in class edu.cmu.minorthird.text.gui.TextBaseEditor

getSpanFeatureExtractor() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Feature extractor used for tokens

getSpanFeatureExtractor() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Return the span feature extractor used by this annotator.

getSpanFeatureExtractor() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

getSpanFeatureExtractor() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

getSpanFeatureExtractor() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

getSpanFeatureExtractorHelp() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

getSpanPainter() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer

getSpanProp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getSpanProp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

getSpanProperties() - Method in class edu.cmu.minorthird.text.BasicTextLabels

Get a set of all properties.

getSpanProperties() - Method in class edu.cmu.minorthird.text.EmptyLabels

getSpanProperties() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getSpanProperties() - Method in class edu.cmu.minorthird.text.NestedTextLabels

getSpanProperties() - Method in interface edu.cmu.minorthird.text.TextLabels

Get a set of all previously-defined properties.

getSpanProperty() - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

If non-null, the property used to encode the output of the classifier.

getSpanPropHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getSpanPropHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

getSpansWithProperty(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Find all spans that have a non-null value for this property.

getSpansWithProperty(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Find all spans that have a non-null value for this property.

getSpansWithProperty(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

getSpansWithProperty(String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

getSpansWithProperty(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getSpansWithProperty(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getSpansWithProperty(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

getSpansWithProperty(String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

getSpansWithProperty(String) - Method in interface edu.cmu.minorthird.text.TextLabels

Find all spans that have a non-null value for this property.

getSpansWithProperty(String, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Find all spans in the named document that have a non-null value for this property.

getSpanType() - Method in class edu.cmu.minorthird.text.learn.ClassifierAnnotator

If non-null, the spanType used to encode the positive predictions of the classifier (which should be a BinaryClassifier).

getSpanType() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMAnnotator

getSpanType() - Method in class edu.cmu.minorthird.text.learn.ConfidenceReportingSequenceAnnotator

getSpanType() - Method in interface edu.cmu.minorthird.text.learn.ExtractorAnnotator

The spanType used to encode the spans extracted by the ExtractorAnnotator.

getSpanType() - Method in class edu.cmu.minorthird.text.learn.FreqAnal

getSpanType() - Method in class edu.cmu.minorthird.text.learn.NameMatcher

getSpanType() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner.SegmentAnnotator

getSpanType() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

getSpanType() - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

getSpanType() - Method in class edu.cmu.minorthird.text.SpanTypeTokenizer

getSpanType() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getSpanType() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

getSpanType() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

getSpanTypeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

getSpanTypeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

getSpanTypeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

getSplit(List<Example>, int, Vector<Feature>) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner.BestOfNRandomTreeSplitter

getSplit(List<Example>, int, Vector<Feature>) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner.RandomTreeSplitter

getSplit(List<Example>, int, Vector<Feature>) - Method in interface edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner.TreeSplitter

getSplit() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the type of level to create when this Statement is defining a level.

getSplitString() - Method in class edu.cmu.minorthird.text.SplitTokenizer

getSplitter() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getSplitter() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getSplitter() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getSplitter() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

getSplitter() - Method in class edu.cmu.minorthird.classify.StackedLearner

getSplitter() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getSplitterHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getSplitterHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getSplitterHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getSplitterHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getSplitterParameters() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getSplitterParameters() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getSplitterParameters() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

getSplitterParameters() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

getStackingDepth() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

Number of iterations of stacking to use

getStackingDepth() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

Number of iterations of stacking to use

getStartFinder() - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

Return something that finds beginnings (for debugging).

getStartIndex() - Method in class edu.cmu.minorthird.text.SubSpan

getStartType() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the starting type in the case that this statement is a generator statement.

getStatements() - Method in class edu.cmu.minorthird.text.mixup.MixupProgram

getStatementType() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns an integer representing the type this Statement is.

getStatus() - Method in class edu.cmu.minorthird.text.SpanDifference.Looper

Return status of the last span returned - does it indicate a false positive, false negative, or true positive area?

getStoppingCriteria() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getStoppingCriteriaHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.AbstractInstance

Return the subpopulation from which the source was drawn.

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.Example

Return the subpopulation Id of the instance.

getSubpopulationId() - Method in interface edu.cmu.minorthird.classify.HasSubpopulationId

Get the subpopulation from which this instance was drawn.

getSubpopulationId() - Method in interface edu.cmu.minorthird.classify.Instance

Get the subpopulation from which this instance was drawn.

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

getSubpopulationId() - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the subpopulationId for the original sequence.

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

getSubpopulationId() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

getSubsampleFraction() - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

getSubsequenceExample(int, int) - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the example corresponding to the segment from positions start..end

getSubsequenceExample(int, int) - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

getSubsequenceExample(int, int) - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

getSubsequenceInstance(int, int) - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the instance corresponding to the segment from positions start...end.

getSubsequenceInstance(int, int) - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

Return the instance corresponding to the segment from positions start...end.

getSubsequenceInstance(int, int) - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

Return the instance corresponding to the segment from positions start...end.

getSubsequenceLabel(int, int) - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Return the class label associated with getSubsequenceExample(start,end).

getSubsequenceLabel(int, int) - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

Return the class label associated with getSubsequenceExample(start,end).

getSubsequenceLabel(int, int) - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

Return the class label associated with getSubsequenceExample(start,end).

getSubViewNames() - Method in class edu.cmu.minorthird.util.gui.Viewer

Provide a set of subview names

getSuperView() - Method in class edu.cmu.minorthird.util.gui.Viewer

Get Viewer in which this viewer is contained.

getSVMModel() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.MyTableCellRenderer

getTaggedLabels() - Method in class edu.cmu.minorthird.text.learn.BeginContinueEndUniqueReduction

getTaggedLabels() - Method in class edu.cmu.minorthird.text.learn.BeginContinueOutsideReduction

getTaggedLabels() - Method in class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

Return the TextLabels holding the tags which encode the extraction task.

getTaggedLabels() - Method in class edu.cmu.minorthird.text.learn.InsideOutsideReduction

getTaggingReduction() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Scheme for reducing extraction to a token-classification problem

getTaggingReductionHelp() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

getTest(int) - Method in interface edu.cmu.minorthird.classify.Dataset.Split

Return a dataset containing the test cases in the k-th split

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.FixedTestSetSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

getTest(int) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset.MultiSplit

getTest(int) - Method in interface edu.cmu.minorthird.classify.Splitter

Return an iterator over the test cases in the k-th split.

getTestClassifierHelp() - Method in class edu.cmu.minorthird.ui.TestClassifier

getTestExtractorHelp() - Method in class edu.cmu.minorthird.ui.TestExtractor

getTestFilename() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getTestFilenameHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getTestKey() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

getTestLabels() - Method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

getTestParameters() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

getTestParamsHelp() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

getTestsetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

getTestsetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getTestsetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTestParams

getTestsetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getTestsetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTestParams

getTestsetFilename() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getTestsetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

getTestsetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

getTestsetFilenameHelp() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

getText() - Method in class edu.cmu.minorthird.text.Document

getTextBase() - Method in class edu.cmu.minorthird.text.BasicTextLabels

Returns the TextBase associated with this labels set or NULL if it has not been set.

getTextBase() - Method in class edu.cmu.minorthird.text.EmptyLabels

getTextBase() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getTextBase() - Method in class edu.cmu.minorthird.text.NestedTextLabels

getTextBase() - Static method in class edu.cmu.minorthird.text.SampleTextBases

getTextBase(String) - Method in class edu.cmu.minorthird.text.TextBaseManager

Returns the textbase identified by name.

getTextBase() - Method in interface edu.cmu.minorthird.text.TextLabels

Returns the TextBase which is annotated by this TextLabels, or null if that isn't set yet.

getTextClassifier() - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

Returns the TextClassifier

getTextClassifier() - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Returns the TextClassifier

getTextLabels(File) - Method in class edu.cmu.minorthird.text.LabeledDirectory

Get the TextLabels which annotates this file.

getTextLabels() - Method in class edu.cmu.minorthird.text.SpanTypeTokenizer

getTextLearnerParameters() - Method in class edu.cmu.minorthird.ui.OnlineLearner

getTextToken(int) - Method in class edu.cmu.minorthird.text.BasicSpan

Retrieves the ith TextToken in the span

getTextToken(int) - Method in interface edu.cmu.minorthird.text.Span

Access the i-th Token as a TextToken

getThreshold() - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

getTo() - Method in class edu.cmu.minorthird.classify.relational.Link

Get the to ExampleID

getToken(int) - Method in class edu.cmu.minorthird.text.BasicSpan

Retrieves the ith TextToken in the span

getToken(int) - Method in interface edu.cmu.minorthird.text.Span

Access the i-th Token.

getTokenizer() - Method in class edu.cmu.minorthird.text.AbstractTextBase

getTokenizer() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextBase

getTokenizer() - Method in interface edu.cmu.minorthird.text.TextBase

Returns the Tokenizer used on the documents in this text base.

getTokenPrecision() - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

getTokenProp() - Method in class edu.cmu.minorthird.text.learn.BeginContinueEndUniqueReduction

getTokenProp() - Method in class edu.cmu.minorthird.text.learn.BeginContinueOutsideReduction

getTokenProp() - Method in class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

Return the token property used for the tags which encode the extraction task.

getTokenProp() - Method in class edu.cmu.minorthird.text.learn.InsideOutsideReduction

getTokenProp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

getTokenProperties() - Method in class edu.cmu.minorthird.text.BasicTextLabels

Get a set of all properties.

getTokenProperties() - Method in class edu.cmu.minorthird.text.EmptyLabels

getTokenProperties() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getTokenProperties() - Method in class edu.cmu.minorthird.text.NestedTextLabels

getTokenProperties() - Method in interface edu.cmu.minorthird.text.TextLabels

Get a set of all properties.

getTokenPropertyFeatures() - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

getTokenPropertyFeatures() - Method in class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

getTokenPropHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

getTokenRecall() - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

getTokens() - Method in class edu.cmu.minorthird.text.Document

getTokPropFeats() - Method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

getTopFeatures(int) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

get top ranked features

getTopNode() - Method in class edu.cmu.minorthird.classify.Explanation

Returns the top node of the explanation tree or creates a Node from the string explanation

getTotalNumberOfExamples() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

Report the number of examples sent to the inner learner.

getTotalWordCount() - Method in class edu.cmu.minorthird.text.model.UnigramModel

getTrain(int) - Method in interface edu.cmu.minorthird.classify.Dataset.Split

Return a dataset containing the training cases in the k-th split

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.FixedTestSetSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

getTrain(int) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset.MultiSplit

getTrain(int) - Method in interface edu.cmu.minorthird.classify.Splitter

Return an iterator over the training cases in the k-th split.

getTrainClassifierHelp() - Method in class edu.cmu.minorthird.ui.TrainClassifier

getTrainData() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

getTrainExtractorHelp() - Method in class edu.cmu.minorthird.ui.TrainExtractor

getTrainFraction() - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

getTrainingParameters() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getTrainingParameters() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getTrainingParameters() - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

getTrainingParameters() - Method in class edu.cmu.minorthird.ui.TrainTestTagger

getTrainParams() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

getTrainParamsHelp() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

getTrainTestClassifierHelp() - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

getTrainTestExtractorHelp() - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

getTrainTestParameters() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

getTrainTestParameters() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

getTrainTestParamsHelp() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

getTransform() - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

getTransformLearner() - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

getTrie() - Method in class edu.cmu.minorthird.text.BasicTextLabels

Return a trie if defined

getTrie() - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

Return a trie if defined

getTrie() - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Return a trie if defined

getTrie() - Method in class edu.cmu.minorthird.text.NestedTextLabels

Return a trie if defined

getTrueType() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

getTrueTypeHelp() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

getTruthBox() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer

getTruthLabels() - Static method in class edu.cmu.minorthird.text.SampleTextBases

getType() - Method in class edu.cmu.minorthird.classify.relational.Link

Get the link type.

getType() - Method in class edu.cmu.minorthird.text.CharAnnotation

getType() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the type that this Statement matches.

getTypes() - Method in class edu.cmu.minorthird.text.BasicTextLabels

getTypes() - Method in class edu.cmu.minorthird.text.EmptyLabels

getTypes() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getTypes() - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

getTypes() - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Returns an array of spanTypes that can be added to the learner

getTypes() - Method in class edu.cmu.minorthird.text.NestedTextLabels

getTypes() - Method in interface edu.cmu.minorthird.text.TextLabels

Return a set of all type names.

getTypeSet(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

getTypeSet(String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

getTypeSet(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

getTypeSet(String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

getTypeSet(String, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Return the Set of all Spans with a given type in a given document

getUnseenModel() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

getUnseenModel() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

getUseCharType() - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

getUseCharType() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

getUseCharType() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

getUseCharTypePattern() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

getUseCharTypePattern() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

getUseCompressedCharType() - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

getUseConfidences() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

If true, use confidence in class predictions as weight for that feature.

getUseConfidences() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

If true, use confidence in class predictions as weight for that feature.

getUseFirst() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

getUseHighPrecisionArithmetic() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getUseHighPrecisionArithmeticHelp() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

getUseInternal() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

getUseLast() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

getUseLength() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

getUseLogisticOnConfidences() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

If true, adjust all class confidences by passing them thru a logistic function

getUseLogisticOnConfidences() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

If true, adjust all class confidences by passing them thru a logistic function

getUseShrinkingHeuristics() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getUseShrinkingHeuristicsHelp() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

getUseTargetPrediction() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

If true, adjust all class confidences by passing them thru a logistic function

getUseTargetPrediction() - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

If true, adjust all class confidences by passing them thru a logistic function

getUseTokenValues() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

getValue(int, int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.Matrix

getValue() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the value that this statement will match.

getValue() - Method in class edu.cmu.minorthird.text.TextToken

getValue() - Method in interface edu.cmu.minorthird.text.Token

getVersion() - Static method in class edu.cmu.minorthird.util.Version

getViewer() - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

getViewerTracker() - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

getVisibleContent() - Method in class edu.cmu.minorthird.util.gui.Viewer

Get the object being displayed as the user sees it.

getVisibleContent() - Method in class edu.cmu.minorthird.util.gui.ZoomedViewer

Get the object being displayed as the user sees it.

getWeight(String) - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the weight of the label.

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.Example

Get the weight assigned to a feature in the instance.

getWeight() - Method in class edu.cmu.minorthird.classify.Example

Get the weight of this example.

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

getWeight(Feature) - Method in interface edu.cmu.minorthird.classify.Instance

Get the weight assigned to a feature in this instance.

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

getWeight(String[]) - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the weight of the label.

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.MutableInstance

Get the weight assigned to a feature in this instance.

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

getWeight() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

getWeight(Feature) - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

getWeight(T, double) - Method in class edu.cmu.minorthird.classify.WeightedSet

Get weight for an object.

getWeight(T) - Method in class edu.cmu.minorthird.classify.WeightedSet

getWordSet() - Method in class edu.cmu.minorthird.text.mixup.Statement

Returns the set of words defining a dictionary in the case that this statement defines a dictionary inline.

getX() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

getY() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleOuter

getZ() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleInner

GUI - Class in edu.cmu.minorthird.classify

Support routines for building GUI's to view datasets, instances, and etc.

GUI() - Constructor for class edu.cmu.minorthird.classify.GUI

GUI - Class in edu.cmu.minorthird.classify.multi

Support routines for building GUI's to view datasets, instances, and etc.

GUI() - Constructor for class edu.cmu.minorthird.classify.multi.GUI

gui() - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation.MyCLP

gui() - Method in class edu.cmu.minorthird.classify.ranking.RankingExpt.MyCLP

gui() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask.GUIParams

gui() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask.GUIParams

gui() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask.GUIParams

gui() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask.GUIParams

gui() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.GUIParams

gui - Variable in class edu.cmu.minorthird.ui.UIMain

GUI.ExampleViewer - Class in edu.cmu.minorthird.classify

A viewer for examples.

GUI.ExampleViewer() - Constructor for class edu.cmu.minorthird.classify.GUI.ExampleViewer

GUI.ExampleViewer(Example) - Constructor for class edu.cmu.minorthird.classify.GUI.ExampleViewer

GUI.InstanceViewer - Class in edu.cmu.minorthird.classify

A viewer for instances

GUI.InstanceViewer() - Constructor for class edu.cmu.minorthird.classify.GUI.InstanceViewer

GUI.InstanceViewer(Instance) - Constructor for class edu.cmu.minorthird.classify.GUI.InstanceViewer

GUI.InstanceViewer - Class in edu.cmu.minorthird.classify.multi

A viewer for instances

GUI.InstanceViewer() - Constructor for class edu.cmu.minorthird.classify.multi.GUI.InstanceViewer

GUI.InstanceViewer(Instance) - Constructor for class edu.cmu.minorthird.classify.multi.GUI.InstanceViewer

GUI.MultiExampleViewer - Class in edu.cmu.minorthird.classify.multi

A viewer for examples.

GUI.MultiExampleViewer() - Constructor for class edu.cmu.minorthird.classify.multi.GUI.MultiExampleViewer

GUI.MultiExampleViewer(MultiExample) - Constructor for class edu.cmu.minorthird.classify.multi.GUI.MultiExampleViewer

H

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.MessageViewer

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.Viewer

Handle a signal from a subview.

handle(int, Object, ArrayList) - Method in class edu.cmu.minorthird.util.gui.ZoomedViewer

hasAnswers() - Method in class edu.cmu.minorthird.classify.ClassifierTeacher

Return true if this teacher can answer more queries.

hasAnswers() - Method in class edu.cmu.minorthird.classify.DatasetClassifierTeacher

hasAnswers() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

Return true if this teacher can answer more queries.

hasAnswers() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetClassifierTeacher

hasAnswers() - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

hasAnswers() - Method in class edu.cmu.minorthird.text.learn.AnnotatorTeacher

Return true if this teacher can answer more queries.

hasAnswers() - Method in class edu.cmu.minorthird.text.learn.TextLabelsAnnotatorTeacher

hasDictionary(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Returns whether this labels set knows about the specified dictionary

hasDictionary(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

hasDictionary(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

hasDictionary(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

hasDictionary(String) - Method in interface edu.cmu.minorthird.text.TextLabels

hasFeature(Feature) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Checks the presence of a feature in hyperplane

hashCode() - Method in class edu.cmu.minorthird.classify.Feature

hashCode() - Method in class edu.cmu.minorthird.text.BasicSpan

hashCode() - Method in class edu.cmu.minorthird.text.TextToken

hasID(String) - Method in class edu.cmu.minorthird.classify.SGMExample

Has the ExampleID or not

hasNext() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance.FeatureArrayIterator

hasNext() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance.MyIterator

hasNext() - Method in class edu.cmu.minorthird.text.SpanDifference.Looper

hasNext() - Method in class edu.cmu.minorthird.util.AbstractLooper

hasNext() - Method in class edu.cmu.minorthird.util.UnionIterator

hasNextQuery() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

hasNextQuery() - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

hasNextQuery() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Returns true if the learner has more queries to answer.

hasNextQuery() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

hasNextQuery() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

hasNextQuery() - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

hasNextQuery() - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

hasNextQuery() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

hasNextQuery() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Ask for labels on every document.

hasNextQuery() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Returns true if the learner has more queries to answer.

hasNextQuery() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

hasNextQuery() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Ask for labels on every document.

hasProp(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

Filter out tokens that have some property set to a non-null value.

hasProp(String, String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

Filter out tokens that have a property set to some particular value.

HasSubpopulationId - Interface in edu.cmu.minorthird.classify

Marker interface for objects which support the 'getSubpopulationId' method.

hasType(Span, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

hasType(Span, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

hasType(Span, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

hasType(Span, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

hasType(Span, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Query if a span has a given type.

hasUnlabeled() - Method in class edu.cmu.minorthird.classify.BasicDataset

hasUnlabeled() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

hasUnlabeled() - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedActions

Return whether the Dataset contains semisupervised examples available for semi-supervisedd learning.

hasUnlabeled() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

helloWorld() - Method in class edu.cmu.minorthird.ui.UIMain

Help - Class in edu.cmu.minorthird.ui

Help for the command-line interface.

Help() - Constructor for class edu.cmu.minorthird.ui.Help

help() - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

Override this to make --help do something other than call usage

help() - Method in class edu.cmu.minorthird.util.JointCommandLineProcessor

hi - Variable in class edu.cmu.minorthird.classify.sequential.Segmentation.Segment

hiBias(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

hiCharIndex - Variable in class edu.cmu.minorthird.text.BasicSpan

highlight(Span, AttributeSet) - Method in class edu.cmu.minorthird.text.gui.SpanDocument

Highlight a subspan of the current span.

highlight(Span, SimpleAttributeSet) - Method in class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

highlightAction - Variable in class edu.cmu.minorthird.text.gui.TextBaseViewer

history - Variable in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

history - Variable in class edu.cmu.minorthird.classify.sequential.HMMLearner

history(String) - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor.ExtractionReductionParams

HISTORY_FEATURE - Static variable in interface edu.cmu.minorthird.classify.sequential.SequenceConstants

historySize - Variable in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

historySize - Variable in class edu.cmu.minorthird.classify.sequential.HMMLearner

historySize - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

historySize - Variable in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

HMM - Class in edu.cmu.minorthird.classify.sequential

HMM(String[], double[][], Hashtable<String, String>, double[][]) - Constructor for class edu.cmu.minorthird.classify.sequential.HMM

HMMAlgo - Class in edu.cmu.minorthird.classify.sequential

HMMAlgo(HMM, String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.HMMAlgo

HMMLearner - Class in edu.cmu.minorthird.classify.sequential

HMMLearner(int) - Constructor for class edu.cmu.minorthird.classify.sequential.HMMLearner

HMMLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.HMMLearner

hmmModel - Variable in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

hyperlinkUpdate(HyperlinkEvent) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.HelpViewer

Hyperplane - Class in edu.cmu.minorthird.classify.algorithms.linear

A weighted combination of features.

Hyperplane() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

HyperplaneInstance - Class in edu.cmu.minorthird.classify.sequential

Wrap a hyperplane to that it supports the Instance interface.

HyperplaneInstance(Hyperplane, String, Object) - Constructor for class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

hyperplaneWeights - Variable in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

I

id - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.EditedSpan

IGNORE_XML - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

importDocumentListMarkup(String) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

Useful routine

importLabelsFromLevel(String, String, String) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

imports labels from specified level to the current level

importOps(MutableTextLabels, TextBase, File) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Load lines modifying a TextLabels from a file.

IN_FILE - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

increment(Feature, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Increment one feature from the hyperplane by delta

increment(Instance, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Add the value of the features in the instance to this hyperplane.

increment(Hyperplane, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Add hyperplane b*delta to this hyperplane.

increment(Hyperplane) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Add hyperplane b to this hyperplane.

incrementBias(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Increment the bias term for the hyperplane by delta

incrementFrequency(String) - Method in class edu.cmu.minorthird.text.model.UnigramModel

indent(int, String) - Static method in class edu.cmu.minorthird.util.StringUtil

Indent a string

indentNumber(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

indentPercentage(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

returns the percentage of tabs in a line

IndexedViewer - Class in edu.cmu.minorthird.util.gui

Transforms selected objects by running them through an 'index', which maps them to a list, the items of which can be selected.

IndexedViewer() - Constructor for class edu.cmu.minorthird.util.gui.IndexedViewer

indexFor(Object) - Method in class edu.cmu.minorthird.util.gui.IndexedViewer

Transform the object to a list.

indexOf(ClassLabel) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

indexOf(ClassLabel) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

inDict(Token, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Returns true if the value of the Token is in the named dictionary.

inDict(Token, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

inDict(Token, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

inDict(Token, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

inDict(Token, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Returns true if the value of the Token is in the named dictionary.

InfoGainInstanceTransform - Class in edu.cmu.minorthird.classify.transform

InfoGainInstanceTransform() - Constructor for class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

Constructor

InfoGainTransformLearner - Class in edu.cmu.minorthird.classify.transform

A simple feature filter based on Ingormation Gain.

InfoGainTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

Constructors

InfoGainTransformLearner(String) - Constructor for class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

InfoGainTransformLearner2 - Class in edu.cmu.minorthird.classify.transform

InfoGainTransformLearner2() - Constructor for class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

Default constructor, limits to 100 features

InfoGainTransformLearner2(int) - Constructor for class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

This will "learn" an InstanceTransform that discards with low info gain.

InfoGainTransformLearner2(int, String) - Constructor for class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

init(TextBase, TextLabels, MutableTextLabels, StatusMessage) - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

initialExpLoss(double, Example[][]) - Method in class edu.cmu.minorthird.classify.ranking.RankingBoosted

initialize() - Method in class edu.cmu.minorthird.text.gui.MarkupControls

Lay out the controls

initialize() - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

Lay out the controls - override the super class

initialize() - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

Called at creation time.

initialize() - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

initialize() - Method in class edu.cmu.minorthird.util.gui.MessageViewer

initialize() - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

Called at creation time.

initialize() - Method in class edu.cmu.minorthird.util.gui.SplitViewer

Called at creation time.

initialize() - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

initialize() - Method in class edu.cmu.minorthird.util.gui.Viewer

Called at creation time.

initialize() - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Set up any buttons, etc for this set of ViewerControls.

initializeLayout() - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

Layout stuff - assumes that viewer and viewerTracker are already created.

InLineComponent(Object) - Method in class edu.cmu.minorthird.util.gui.TypeSelector

innerLearner - Variable in class edu.cmu.minorthird.classify.multi.MultiLearner

innerLearner - Variable in class edu.cmu.minorthird.classify.OneVsAllLearner

input - Variable in class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

insertString(int, String, AttributeSet) - Method in class edu.cmu.minorthird.text.gui.SpanDocument

Overrides default insertString, since insertions are not allowed.

INSIDE - Static variable in class edu.cmu.minorthird.text.learn.AnnotationExample

InsideOutsideReduction - Class in edu.cmu.minorthird.text.learn

Reducing an extraction task to tagging tokens as inside the type to extract, or outside the type to extract.

InsideOutsideReduction() - Constructor for class edu.cmu.minorthird.text.learn.InsideOutsideReduction

instance - Variable in class edu.cmu.minorthird.classify.Example

Instance - Interface in edu.cmu.minorthird.classify

A single instance for a learner.

instance - Variable in class edu.cmu.minorthird.text.learn.SpanFE

InstanceFromPrediction - Class in edu.cmu.minorthird.classify.multi

An instance that has predicted values from each dimension added as features

InstanceFromPrediction(Instance, String[]) - Constructor for class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

InstanceFromSequence - Class in edu.cmu.minorthird.classify.sequential

An instance that appears as part of a sequence.

InstanceFromSequence(Instance, String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

instanceIterator(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

instanceIterator(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

instanceIterator(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

instanceIterator(String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

instanceIterator(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

instanceIterator(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

instanceIterator(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

instanceIterator(String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

instanceIterator(String) - Method in interface edu.cmu.minorthird.text.TextLabels

Get all instances of a given type.

instanceIterator(String, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Get all instances of a given type.

instancePool() - Method in class edu.cmu.minorthird.classify.ClassifierTeacher

Unlabeled instances, which will be provided to the learner via setInstancePool().

instancePool() - Method in class edu.cmu.minorthird.classify.DatasetClassifierTeacher

instancePool() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

Unlabeled instances, which will be provided to the multiLearner via setInstancePool().

instancePool() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetClassifierTeacher

instancePool() - Method in class edu.cmu.minorthird.classify.semisupervised.DatasetSemiSupervisedClassifierTeacher

instancePool() - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

instanceToNodeArray(Instance) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

creates the node array from an instance

InstanceTransform - Interface in edu.cmu.minorthird.classify.transform

InstanceTransformLearner - Interface in edu.cmu.minorthird.classify.transform

internal() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

invertIteration(Iterator<CandidateSegmentGroup>) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

invertIteration(Iterator<Example[]>) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

IOUtil - Class in edu.cmu.minorthird.util

IO utilities.

IOUtil() - Constructor for class edu.cmu.minorthird.util.IOUtil

isAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Returns whether or not this labels set has been annotated to include the specified type.

isAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

isAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

isAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

isAnnotatedBy(String) - Method in interface edu.cmu.minorthird.text.TextLabels

See if the TextLabels contains a particular type of annotation

isBinary() - Method in class edu.cmu.minorthird.classify.ClassLabel

See if this is one of the distinguished binary labels.

isBinary() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Returns whether this Evaluation refers to a binary classifier

isBinary() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

See if this is one of the distinguished binary labels.

isCorrect(ClassLabel) - Method in class edu.cmu.minorthird.classify.ClassLabel

Is this label correct, relative to another label?

isCorrect(double) - Method in class edu.cmu.minorthird.classify.ClassLabel

Is this label correct, relative to a numeric label?

isCorrect(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

isCorrect(MultiClassLabel) - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Is this label correct, relative to another label?

isLabelFile() - Method in class edu.cmu.minorthird.text.SimpleTextLoader

isMultiCorrect(MultiClassLabel) - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Is this label correct, relative to another label?

isNegative() - Method in class edu.cmu.minorthird.classify.ClassLabel

See if this is the distinguished negative label.

isNegative() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

See if this is the distinguished negative label.

isPositive() - Method in class edu.cmu.minorthird.classify.ClassLabel

See if this is the distinguished positive label.

isPositive() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

See if this is the distinguished positive label.

isPresent(ClassLabel) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

isPresent(ClassLabel) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

isType(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

isType(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

isType(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

isType(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

isType(String) - Method in interface edu.cmu.minorthird.text.TextLabels

True if the given string names a type.

isValid(ClassLabel) - Method in class edu.cmu.minorthird.classify.ExampleSchema

Determine if a ClassLabel is valid with respect to the schema.

isValid(Example) - Method in class edu.cmu.minorthird.classify.ExampleSchema

Determine if an example is valid with respect to the schema.

itemSelected - Variable in class edu.cmu.minorthird.util.gui.TypeSelector.PropertyEditor.Selection

iterator() - Method in class edu.cmu.minorthird.classify.BasicDataset

iterator() - Method in interface edu.cmu.minorthird.classify.Dataset

Return an iterator over all examples.

iterator() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

iterator() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

iterator() - Method in class edu.cmu.minorthird.classify.sequential.Segmentation

iterator() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Iterate over all examples

iterator() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Iterate over all examples, extended so as to contain history information.

iterator() - Method in class edu.cmu.minorthird.classify.WeightedSet

iterator() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.Segments

iteratorOverUnlabeled() - Method in class edu.cmu.minorthird.classify.BasicDataset

iteratorOverUnlabeled() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

iteratorOverUnlabeled() - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedActions

Return an iterator over all the semisupervised examples.

iteratorOverUnlabeled() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

J

JointCommandLineProcessor - Class in edu.cmu.minorthird.util

A lightweight command-line processing tool.

JointCommandLineProcessor(CommandLineProcessor[]) - Constructor for class edu.cmu.minorthird.util.JointCommandLineProcessor

K

k1 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

k2 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

k4 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

k5 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

kappa() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

kernelTypeHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

KernelVotedPerceptron - Class in edu.cmu.minorthird.classify.algorithms.linear

Voted perceptron algorithm.

KernelVotedPerceptron(int, String) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

Constructor: specifies degree of poly kernel and mode Example KernelVotedPerceptron(3,"averaged") or (5,"voted")

KernelVotedPerceptron() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

Default Constructor: degree=3 and mode="voted"

KernelVotedPerceptron.MyClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

KernelVotedPerceptron.MyClassifier(List<Hyperplane>, List<Integer>) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron.MyClassifier

keys() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

keys() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

KnnLearner - Class in edu.cmu.minorthird.classify.algorithms.knn

Learn an Knn Classifier.

KnnLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

KnnLearner(int) - Constructor for class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

KWayMixtureLearner - Class in edu.cmu.minorthird.classify.algorithms.linear

KWayMixtureLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

KWayMixtureLearner(String) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

KWayMixtureLearner(String, String) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

KWayMixtureLearner(String, String, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

L

l_my - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

label - Variable in class edu.cmu.minorthird.classify.Example

label - Variable in class edu.cmu.minorthird.classify.multi.MultiExample

label - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.EditedSpan

label(MutableTextLabels, File) - Static method in class edu.cmu.minorthird.text.gui.TextBaseLabeler

Pop up a frame for editing the labels.

LABEL - Static variable in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

LABEL_DOCUMENT - Static variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

LABELDIR_PROP - Static variable in class edu.cmu.minorthird.text.FancyLoader

Property defining location of labels added to data

labeledData - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

labeledData(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

labeledData - Variable in class edu.cmu.minorthird.ui.OnlineLearner

LabeledDirectory - Class in edu.cmu.minorthird.text

LabeledDirectory() - Constructor for class edu.cmu.minorthird.text.LabeledDirectory

LabeledDirectory(String) - Constructor for class edu.cmu.minorthird.text.LabeledDirectory

LabeledDirectory(File) - Constructor for class edu.cmu.minorthird.text.LabeledDirectory

LabeledDirectory.MyCLP - Class in edu.cmu.minorthird.text

A CommandLineProcessor for LabeledDirectory.

LabeledDirectory.MyCLP() - Constructor for class edu.cmu.minorthird.text.LabeledDirectory.MyCLP

labelFile - Variable in class edu.cmu.minorthird.text.SimpleTextLoader

labelInstance(Instance) - Method in class edu.cmu.minorthird.classify.ClassifierTeacher

Label an Instance chosen by the learner.

labelInstance(Instance) - Method in class edu.cmu.minorthird.classify.DatasetClassifierTeacher

labelInstance(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

Label an Instance chosen by the multiLearner.

labelInstance(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetClassifierTeacher

labelInstance(Instance) - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

labelInstance(Span) - Method in class edu.cmu.minorthird.text.learn.AnnotatorTeacher

Label an Span queried by the learner.

labelInstance(Span) - Method in class edu.cmu.minorthird.text.learn.TextLabelsAnnotatorTeacher

labelLine(String, StringBuffer, String, List<TextBaseLoader.CharSpan>) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Takes a single line of text.

labels - Variable in class edu.cmu.minorthird.text.gui.MarkupControls

labels - Variable in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

labels(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher.MyCLP

labels(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

labels(String) - Method in class edu.cmu.minorthird.text.SpanDifference.Invoker

labels - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

labels(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

labels - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

labels - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

labelsFilenameHelp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

labelTokensInsideOutside(String) - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

labelTokensStartEnd(String) - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

lambda - Variable in class edu.cmu.minorthird.classify.algorithms.random.Gamma

last() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

Move to the last span in the set.

last() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

lc() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

learner(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

learner - Variable in class edu.cmu.minorthird.classify.multi.MultiLearner

learner - Variable in class edu.cmu.minorthird.classify.OneVsAllLearner

learner(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingExpt.MyCLP

learner - Variable in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

learner - Variable in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

learner - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

learner(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

learner - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

learner(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

learner - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

learner(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

learnerFactory - Variable in class edu.cmu.minorthird.classify.multi.MultiLearner

learnerFactory - Variable in class edu.cmu.minorthird.classify.OneVsAllLearner

learnerName - Variable in class edu.cmu.minorthird.classify.multi.MultiLearner

learnerName - Variable in class edu.cmu.minorthird.classify.OneVsAllLearner

learnerName - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

LearnerOp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

learnerOp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

learnerOp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

LeaveOneOutDictTransformLearner - Class in edu.cmu.minorthird.classify.transform

Construct a transformation of a dataset that includes "leave one out dictionary".

LeaveOneOutDictTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

LeaveOneOutDictTransformLearner(String) - Constructor for class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

LeaveOneOutDictTransformLearner(String[]) - Constructor for class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

LeaveOneOutDictTransformLearner(String[], String) - Constructor for class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

LeaveOneOutDictVersion - Class in edu.cmu.minorthird.classify.sequential

LeaveOneOutDictVersion(String[], BatchSegmenterLearner, String) - Constructor for class edu.cmu.minorthird.classify.sequential.LeaveOneOutDictVersion

LeaveOneOutDictVersion(BatchSegmenterLearner, String) - Constructor for class edu.cmu.minorthird.classify.sequential.LeaveOneOutDictVersion

LeaveOneOutDictVersion(BatchSegmenterLearner) - Constructor for class edu.cmu.minorthird.classify.sequential.LeaveOneOutDictVersion

LeaveOneOutSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

Do N-fold cross-validation, where N is the number of different subpopulations.

LeaveOneOutSplitter(Random) - Constructor for class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

LeaveOneOutSplitter() - Constructor for class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

left() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the span consisting of all tokens in the same document that precede the current span.

LEFT - Static variable in class edu.cmu.minorthird.util.gui.ViewerControls

legalAggregators - Static variable in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

legalKeywords - Static variable in class edu.cmu.minorthird.text.mixup.MixupProgram

length() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

LineCharter - Class in edu.cmu.minorthird.util.gui

Wraps JFreeChart's XY line graph capability.

LineCharter() - Constructor for class edu.cmu.minorthird.util.gui.LineCharter

lineMatcher(String, String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Returns true if substring in input (or part of it) matches the pattern.

LineProcessingUtil - Class in edu.cmu.minorthird.util

Line processing utilities.

LineProcessingUtil() - Constructor for class edu.cmu.minorthird.util.LineProcessingUtil

lineWrap(String, int) - Static method in class edu.cmu.minorthird.util.StringUtil

Line-wrap a string

Link - Class in edu.cmu.minorthird.classify.relational

A link has 'from' 'to' 'type' fields, more attrs can be added

Link(String, String, String) - Constructor for class edu.cmu.minorthird.classify.relational.Link

linkFile(String) - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

linkFileHelp - Variable in class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

linkFileName - Variable in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

linksMap - Static variable in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

ListNet - Class in edu.cmu.minorthird.classify.ranking

Implements the Listwise Ranking algorithm proposed at: Learning to Rank: From Pairwise Approach to Listwise Approach, ICML 2007.

ListNet() - Constructor for class edu.cmu.minorthird.classify.ranking.ListNet

ListNet(int) - Constructor for class edu.cmu.minorthird.classify.ranking.ListNet

ListNet(int, double) - Constructor for class edu.cmu.minorthird.classify.ranking.ListNet

listsWithOneExampleEach(Map<String, List<Example>>) - Static method in class edu.cmu.minorthird.classify.ranking.BatchRankingLearner

Split a Map output by splitIntoRankings into lists that contain exactly one positive example each.

ll - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

llll - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

lnr - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

lnr - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

lo - Variable in class edu.cmu.minorthird.classify.sequential.Segmentation.Segment

load(File) - Method in class edu.cmu.minorthird.classify.DatasetLoader

Calls loadFile.

load(File) - Static method in class edu.cmu.minorthird.classify.experiments.Evaluation

load(File) - Static method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

load(File) - Method in class edu.cmu.minorthird.text.model.UnigramModel

Load a file where each line contains a pair.

load(File, boolean) - Static method in class edu.cmu.minorthird.text.SimpleTextLoader

load(String, boolean) - Static method in class edu.cmu.minorthird.text.SimpleTextLoader

load(File) - Method in class edu.cmu.minorthird.text.SimpleTextLoader

load(String) - Method in class edu.cmu.minorthird.text.SimpleTextLoader

load(File) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Load data from the given location according to configuration and whether location is a directory or not Calling load a second time will load into the same text base (thus the second call returns documents from both the first and second locations).

load(File, Tokenizer) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Load data from the given location according to configuration and whether location is a directory or not Calling load a second time will load into the same text base (thus the second call returns documents from both the first and second locations).

loadDirOfTaggedFiles(File) - Static method in class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

loadDocPerLine(File, boolean) - Static method in class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

loadDocument(String, String) - Method in class edu.cmu.minorthird.text.BasicTextBase

Adds a document to this TextBase with documentId as its identifier and with text specified by documentString.

loadDocument(String, String, int) - Method in class edu.cmu.minorthird.text.BasicTextBase

Adds a document to this TextBase with documentId as its identifier and with text specified by documentString.

loadDocument(String, String) - Method in class edu.cmu.minorthird.text.MutableTextBase

Creates a new document for the document contained in documentString and referenced by documentId.

loadDocument(String, String, int) - Method in class edu.cmu.minorthird.text.MutableTextBase

Creates a new document for the document contained in documentString and referenced by documentId.

loadFile(File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Load a dataset from a file

loadFrom - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

loadFrom(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

loadFrom(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation.MyCLP

loadFrom(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher.MyCLP

loadFrom(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

loadFrom - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

loadFrom(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

loadFrom - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

loadFrom(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

loadFromFilename - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

loadLinkFile(File, RealRelationalDataset) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Load a link file

loadMulti(File, int) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Load a dataset from a file

loadOps(TextBase, File) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Create a new labeling by importing from a file with importOps.

loadRegression(File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Save a dataset that can be used for regression

loadRelFile(File, RealRelationalDataset) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Load a relational dataset from a file specifying objs

loadRelTempFile(File, RealRelationalDataset) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Load a relational template file

loadSequence(File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Load a SequenceDataset from a file

loadSerialized(File, TextBase) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Read in a serialized TextLabels.

loadSerialized(File) - Static method in class edu.cmu.minorthird.util.IOUtil

loadSerialized(InputStream) - Static method in class edu.cmu.minorthird.util.IOUtil

loadSpan(Span) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

loadSpan(Span) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

loadSpanHook() - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

loadSpanHook() - Method in class edu.cmu.minorthird.text.gui.SpanEditor

loadSpanHook() - Method in class edu.cmu.minorthird.text.gui.SpanLabeler

loadSpanHook() - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

Overload this to do something special when a new document is loaded.

loadSVMStyle(File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

loadTaggedFiles(TextBase, File) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

loadTextLabels(String) - Static method in class edu.cmu.minorthird.text.FancyLoader

Try to load a TextLabels object 'foo' in one of these ways.

loadWordPerLineFile(File) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Load a document where each word has it's own line and is follwed by three desscriptor words.

loBias(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

localscore(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

loCharIndex - Variable in class edu.cmu.minorthird.text.BasicSpan

log(double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

log - Static variable in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

log - Static variable in class edu.cmu.minorthird.classify.sequential.HMMLearner

log - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

log - Static variable in class edu.cmu.minorthird.text.SpanDifference

log - Static variable in class edu.cmu.minorthird.ui.TrainTestClassifier

log - Variable in class edu.cmu.minorthird.util.gui.ComponentViewer

log10(double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

log2(double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

logFactorial(int) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

logFactorials - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

logGamma(double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

Returns the log of Gamma(double x), using Algorithm 291.

logistic(double) - Static method in class edu.cmu.minorthird.util.MathUtil

Logistic function.

logLoss(BinaryClassifier, Example) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Return the log loss on an example with known true class.

logLoss(BinaryClassifier, Dataset) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Return the average log loss on a dataset.

LOGPI - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

logSpace - Variable in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

LONG - Static variable in class edu.cmu.minorthird.text.StopWords

LONG_FORM_PROP - Static variable in class edu.cmu.minorthird.text.ExtractAbbrev

This property links an extracted acronym to its expansion

LONG_FORM_TYPE - Static variable in class edu.cmu.minorthird.text.ExtractAbbrev

The type asserted for expansions of extracted acronyms

longFactorial(int) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

longFactorials - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

lookup(Span) - Method in class edu.cmu.minorthird.text.Trie

Lookup matches to the trie in the span

lookupTypeSet(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

lossFunctionEpsilonHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

loTextTokenIndex - Variable in class edu.cmu.minorthird.text.BasicSpan

lr - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

M

m - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

MACHEP - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

main(String[]) - Static method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

main(String[]) - Static method in class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimate

main(String[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.TestRandom

main(String[]) - Static method in class edu.cmu.minorthird.classify.BasicDataset

Simple test routine

main(String[]) - Static method in class edu.cmu.minorthird.classify.BasicFeatureIndex

main(String[]) - Static method in class edu.cmu.minorthird.classify.DatasetClassifierTeacher

main(String[]) - Static method in class edu.cmu.minorthird.classify.DatasetIndex

main(String[]) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

main(String[]) - Static method in class edu.cmu.minorthird.classify.experiments.ClassifiedDataset

main(String[]) - Static method in class edu.cmu.minorthird.classify.experiments.CrossValidatedDataset

main(String[]) - Static method in class edu.cmu.minorthird.classify.experiments.Evaluation

main(String[]) - Static method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

main(String[]) - Static method in class edu.cmu.minorthird.classify.experiments.Expt

main(String[]) - Static method in class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

main(String[]) - Static method in class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset

main(String[]) - Static method in class edu.cmu.minorthird.classify.multi.MultiCrossValidatedDataset

main(String[]) - Static method in class edu.cmu.minorthird.classify.multi.MultiDataset

Simple test routine

main(String[]) - Static method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

main(String[]) - Static method in class edu.cmu.minorthird.classify.MutableInstance

main(String[]) - Static method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

main(String[]) - Static method in class edu.cmu.minorthird.classify.ranking.RankingExpt

main(String[]) - Static method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

Simple test routine

main(String[]) - Static method in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

Simple test routine

main(String[]) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

main(String[]) - Static method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

Simple test routine

main(String[]) - Static method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.sequential.CrossValidatedSequenceDataset

main(String[]) - Static method in class edu.cmu.minorthird.classify.sequential.DictVersion

main(String[]) - Static method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

main(String[]) - Static method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

main(String[]) - Static method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

main - Variable in class edu.cmu.minorthird.classify.Test.DataClassificationTask

main(String[]) - Static method in class edu.cmu.minorthird.classify.Test

main - Variable in class edu.cmu.minorthird.classify.Train.DataClassificationTask

main(String[]) - Static method in class edu.cmu.minorthird.classify.Train

main - Variable in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

main(String[]) - Static method in class edu.cmu.minorthird.classify.TrainTest

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.ChiSquareTransformLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.ContingencyTable

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.OrderBasedTransformLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

main(String[]) - Static method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

main(String[]) - Static method in class edu.cmu.minorthird.classify.TweakedLearner

Main method for testing purposes

main - Variable in class edu.cmu.minorthird.classify.UI.DataClassificationTask

main(String[]) - Static method in class edu.cmu.minorthird.classify.UI

main(String[]) - Static method in class edu.cmu.minorthird.Minorthird

main(String[]) - Static method in class edu.cmu.minorthird.text.BasicTextBase

main(String[]) - Static method in class edu.cmu.minorthird.text.BoneheadStemmer

main(String[]) - Static method in class edu.cmu.minorthird.text.BOWClassifierWrapper

Deprecated.

main(String[]) - Static method in class edu.cmu.minorthird.text.EncapsulatedAnnotator

Create a serialized annotator that 'requires' a particular type of annotation in the context of a particular set of files.

main(String[]) - Static method in class edu.cmu.minorthird.text.ExtractAbbrev

main(String[]) - Static method in class edu.cmu.minorthird.text.FancyLoader

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.MarkupControls

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.MixupDebugger

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.OnlineLearnerEditor

Entry point that runs a gui to examine labels and change them.

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.SpanViewer

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.TextBaseEditor

Entry point that runs a gui to examine labels and change them.

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.TextBaseEditorPlusLabeler

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.TextBaseLabeler

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.TextBaseViewer

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.TextLabelsViewer

main(String[]) - Static method in class edu.cmu.minorthird.text.gui.ZoomingTextLabelsViewer

main(String[]) - Static method in class edu.cmu.minorthird.text.LabeledDirectory

A simple main program that allows you to add annotations to a directory of text files.

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.ConfidenceReportingSequenceAnnotator

Convert an appropriately trained ExtractorAnnotator to a ConfidenceReportingSequenceAnnotator.

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.ExtractorAnnotatorWrapper

An interactive test routine to see if this thing works.

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.ExtractorTweaker

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.NameMatcher

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.SampleFE

Test case to try out the feature extractors

main(String[]) - Static method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

main(String[]) - Static method in class edu.cmu.minorthird.text.MinorTagger

main(String[]) - Static method in class edu.cmu.minorthird.text.mixup.Mixup

main(String[]) - Static method in class edu.cmu.minorthird.text.mixup.MixupProgram

usage: programFile textFile/directory [outfile] evaluates the given program file against the specified data (either a file or directory of files) if an outfile is specified it outputs the types as operators to that file

main(String[]) - Static method in class edu.cmu.minorthird.text.model.UnigramModel

main(String[]) - Static method in class edu.cmu.minorthird.text.POSTagger

main(String[]) - Static method in class edu.cmu.minorthird.text.SpanDifference

main(String[]) - Static method in class edu.cmu.minorthird.text.SummarizeLabels

main(String[]) - Static method in class edu.cmu.minorthird.text.Trie

main(String[]) - Static method in class edu.cmu.minorthird.ui.ApplyAnnotator

main(String[]) - Static method in class edu.cmu.minorthird.ui.DebugMixup

main(String[]) - Static method in class edu.cmu.minorthird.ui.EditLabels

main(String[]) - Static method in class edu.cmu.minorthird.ui.Help

main(String[]) - Static method in class edu.cmu.minorthird.ui.OnlineLearner

main(String[]) - Static method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

main(String[]) - Static method in class edu.cmu.minorthird.ui.RunMixup

main(String[]) - Static method in class edu.cmu.minorthird.ui.SimpleClassifierUI

main(String[]) - Static method in class edu.cmu.minorthird.ui.TestClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.TestExtractor

main(String[]) - Static method in class edu.cmu.minorthird.ui.TestMultiClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainExtractor

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainMultiClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainTestClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainTestExtractor

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

main(String[]) - Static method in class edu.cmu.minorthird.ui.TrainTestTagger

main - Variable in class edu.cmu.minorthird.ui.UIMain

main(String[]) - Static method in class edu.cmu.minorthird.ui.ViewLabels

main(String[]) - Static method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

Test and/or example code.

main(String[]) - Static method in class edu.cmu.minorthird.util.gui.ControlledViewer

a test case

main(String[]) - Static method in class edu.cmu.minorthird.util.gui.TestViewer

main(String[]) - Static method in class edu.cmu.minorthird.util.gui.TypeSelector

main(String[]) - Static method in class edu.cmu.minorthird.util.gui.ViewerFrame

main(String[]) - Static method in class edu.cmu.minorthird.util.JointCommandLineProcessor

main(String[]) - Static method in class edu.cmu.minorthird.util.StringEncoder

main(String[]) - Static method in class edu.cmu.minorthird.util.StringUtil

main(String[]) - Static method in class edu.cmu.minorthird.util.UnionIterator

makeApplyButton() - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Create an 'apply' button.

MakeBinaryTransform - Class in edu.cmu.minorthird.classify.transform

MakeBinaryTransform() - Constructor for class edu.cmu.minorthird.classify.transform.MakeBinaryTransform

Default constructor

makeExtractionFE(int) - Static method in class edu.cmu.minorthird.text.learn.SampleFE

A simple extraction-oriented feature extractor to apply to one-token spans, for extraction tasks.

makeLogisticRegressionData(Random, int, double, double) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Data useful for testing univariate logistic regression.

makeNumericData(Random, int, int) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Random data, defined by a simple boolean combination of thresholds over two dimensions, with up to 5 irrelevant dimensions, and m examples.

makeSparseNumericData(Random, int) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Sparse numeric data - some values are 1.0, and some are zero.

makeToy3ClassData(Random, int) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Makes a sample 3 class dataset

makeToySequenceData() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

makeToySequenceData(String[]) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

makeToySequenceTestData() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

ManyVsRestLearner - Class in edu.cmu.minorthird.classify

Multi-class version of a binary classifier; Generalizes OneVsAllLearner.

ManyVsRestLearner() - Constructor for class edu.cmu.minorthird.classify.ManyVsRestLearner

ManyVsRestLearner(BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.ManyVsRestLearner

ManyVsRestLearner(String) - Constructor for class edu.cmu.minorthird.classify.ManyVsRestLearner

map(SpanFE.Function) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

mapFunction(SpanFE.Function) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SetResult

Modify each element in the set using a user-defined function.

MarginPerceptron - Class in edu.cmu.minorthird.classify.algorithms.linear

Perceptron algorithm.

MarginPerceptron() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

MarginPerceptron(double, boolean, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

MarginPerceptronLearner - Class in edu.cmu.minorthird.classify.sequential

Sequential learner based on the perceptron algorithm that takes the top-k viterbi paths and subtracts those within a margin of beta of the correct.

MarginPerceptronLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.MarginPerceptronLearner

MarginPerceptronLearner(int) - Constructor for class edu.cmu.minorthird.classify.sequential.MarginPerceptronLearner

MarginPerceptronLearner(int, int, float) - Constructor for class edu.cmu.minorthird.classify.sequential.MarginPerceptronLearner

MarginPerceptronLearner(int, int, float, int) - Constructor for class edu.cmu.minorthird.classify.sequential.MarginPerceptronLearner

MarkupControls - Class in edu.cmu.minorthird.text.gui

A scheme for marking spans up in a labeling.

MarkupControls(TextLabels) - Constructor for class edu.cmu.minorthird.text.gui.MarkupControls

markupDocumentSpan(String, TextLabels) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Deprecated. use createXMLMarkup(String documentId,TextLabels labels) Save extracted data in an XML format. Convert to string <root>..<type>...</type>..</root> nested things <a>A<b>B</b>C</a> are stored as nested things <a>A<set v=a,b>B</set>C</a> where single sets are simplified so mismatches like [A (B C] D)E are stored as <a>a<set v=a,b>B C</set></a><b>D</b>E

MaskedInstance - Class in edu.cmu.minorthird.classify.transform

MaskedInstance(Instance, Set<Feature>) - Constructor for class edu.cmu.minorthird.classify.transform.MaskedInstance

MaskedInstance(Instance, SortedMap<Feature, ?>) - Constructor for class edu.cmu.minorthird.classify.transform.MaskedInstance

match(Feature, Instance) - Method in interface edu.cmu.minorthird.classify.transform.FeatureFilter

Should I retain feature f in the given instance.

match(Feature, Instance) - Method in class edu.cmu.minorthird.classify.transform.FilterInstanceTransform

Should I retain feature f in the given instance.

match(Object) - Method in class edu.cmu.minorthird.text.learn.SpanFE.Filter

Should return true for all items that will be accepted by the filter.

matcher - Variable in class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

MathUtil - Class in edu.cmu.minorthird.util

Math utilities.

MathUtil() - Constructor for class edu.cmu.minorthird.util.MathUtil

MathUtil.Accumulator - Class in edu.cmu.minorthird.util

Accumulate a list of numbers, then report on mean, standard deviation, and other common statistics.

MathUtil.Accumulator() - Constructor for class edu.cmu.minorthird.util.MathUtil.Accumulator

Max(double[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

MAX_STATUS - Static variable in class edu.cmu.minorthird.text.SpanDifference

Max value of an status indicator, eg FALSE_POS, FALSE_NEG, etc

MaxEntLearner - Class in edu.cmu.minorthird.classify.algorithms.linear

Maximum entropy learner.

MaxEntLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

MaxEntLearner(String) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

String is list of parameter-value pairs, e.g.

MaxEntLearner.MyClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

MaxEntLearner.MyClassifier(Classifier, ExampleSchema, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner.MyClassifier

maxF1() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Max f1 values at any cutoff.

maxF1(double) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Max f1 values for any threshold above the specified cutoff.

maxF1(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

Max value of F1 over all possible thresholds.

MAXGAM - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

MaximumLikelihoodPoisson(double[], double[], double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Compute the maximum likelihood estimate of the rate 'mu' of a Poisson model, using integer counts x[] from examples with different lengths omega[].

maxItersHelp - Variable in class edu.cmu.minorthird.classify.sequential.CRFLearner

MAXLOG - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

maxNumberOfMatches - Static variable in class edu.cmu.minorthird.text.mixup.Mixup

Without constrains, the maximum number of times a mixup expression can extract something from a document of length N is O(N*N), since any token can be the begin or end of an extracted span.

maxNumberOfMatchesPerToken - Static variable in class edu.cmu.minorthird.text.mixup.Mixup

Without constraints, the maximum number of times a mixup expression can extract something from a document of length N is O(N*N), since any token can be the begin or end of an extracted span.

maxRecall(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

maxWindowSize - Variable in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

mcmcEstimateDirichletPoissonTauSigma(Estimate[], double[], double[], double, double, double, double, double[], double, double, int) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

mean - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

mean - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

mean() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The mean of accumulated values.

MEAN_MAX - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

measureTotalSize(TextBase) - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

MessageViewer - Class in edu.cmu.minorthird.util.gui

Wraps a viewer and adds a status message at the bottom.

MessageViewer() - Constructor for class edu.cmu.minorthird.util.gui.MessageViewer

MessageViewer(Object) - Constructor for class edu.cmu.minorthird.util.gui.MessageViewer

MessageViewer(Viewer) - Constructor for class edu.cmu.minorthird.util.gui.MessageViewer

MethodOfMomentsNegBin(double[], double[], double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Compute the method of moment estimates of the rate 'mu' and the parameter which controls the variability 'delta' of a Negative-Binomial models, using integer counts x[] from examples with different lengths omega[].

MinimalMarkupControls - Class in edu.cmu.minorthird.text.gui

A compact control window for marking spans up in a labeling.

MinimalMarkupControls(TextLabels) - Constructor for class edu.cmu.minorthird.text.gui.MinimalMarkupControls

MINLOG - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

minMatchesToApplyConstraints - Static variable in class edu.cmu.minorthird.text.mixup.Mixup

Without constraints, the maximum number of times a mixup expression can extract something from a document of length N is O(N*N).

MinorTagger - Class in edu.cmu.minorthird.text

Description: An echo-like server that labels popular entities using XML tags in an input text Instruction: VERY IMPORTANT: 1) Make sure you comment out the following line: require 'pos'; in "lib/mixup/np.mixup" because this server already does POS tagging for you! (otherwise MontyLingua will be invoked more than once) 2) If you encounter 'rcwangName.mixup' not found error, copy apps/names/lib/rcwangName.mixup and apps/names/lib/newnames.txt to lib/mixup, or make sure rcwangName.mixup and newnames.txt are in your classpath 3) To use Minorthird's createXMLmarkup function instead of mine, uncomment the line: tagged = labelsLoader.createXMLmarkup(tempFile.getName(), labels); and comment out the line: tagged = createXML(in, labelsLoader.saveTypesAsXML(labels)); in the "tag" function.

MinorTagger() - Constructor for class edu.cmu.minorthird.text.MinorTagger

Minorthird - Class in edu.cmu.minorthird

A launch bar for Minorthird applications.

Minorthird(String[]) - Constructor for class edu.cmu.minorthird.Minorthird

MistakeCountingOnlineLearner - Class in edu.cmu.minorthird.classify

A wrapper around on OnlineClassifierLearner that counts the number of mistakes if makes.

MistakeCountingOnlineLearner() - Constructor for class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

MistakeCountingOnlineLearner(OnlineClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

MistakeCountingOnlineLearner(OnlineClassifierLearner, boolean) - Constructor for class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

Mixup - Class in edu.cmu.minorthird.text.mixup

A simple pattern-matching and information extraction language.

Mixup(String) - Constructor for class edu.cmu.minorthird.text.mixup.Mixup

Create a new mixup query.

Mixup(Mixup.MixupTokenizer) - Constructor for class edu.cmu.minorthird.text.mixup.Mixup

MIXUP - Static variable in class edu.cmu.minorthird.text.mixup.Statement

mixup(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

mixup(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

mixup - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

mixup(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

Mixup.MixupTokenizer - Class in edu.cmu.minorthird.text.mixup

Mixup.MixupTokenizer(String) - Constructor for class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

Mixup.ParseException - Exception in edu.cmu.minorthird.text.mixup

Signals an error in parsing a mixup document.

Mixup.ParseException(String) - Constructor for exception edu.cmu.minorthird.text.mixup.Mixup.ParseException

MixupAnnotator - Class in edu.cmu.minorthird.text

Annotate labels using a mixup program.

MixupAnnotator(MixupProgram) - Constructor for class edu.cmu.minorthird.text.MixupAnnotator

MixupCompatible - Interface in edu.cmu.minorthird.text.learn

Marker interface for SpanFeatureExtractor objects which allow one to attach a type of required annotations that must be present before feature extraction starts.

MixupDebugger - Class in edu.cmu.minorthird.text.gui

View results of executing a mixup program.

MixupDebugger(TextBase, File, File, boolean, boolean) - Constructor for class edu.cmu.minorthird.text.gui.MixupDebugger

MixupDebugger(TextBase, TextLabels, File, File, boolean, boolean) - Constructor for class edu.cmu.minorthird.text.gui.MixupDebugger

MixupFinder - Class in edu.cmu.minorthird.text

Finds spans using a mixup expression evaluated in a fixed labeling.

MixupFinder(Mixup) - Constructor for class edu.cmu.minorthird.text.MixupFinder

MixupInterpreter - Class in edu.cmu.minorthird.text.mixup

MixupInterpreter() - Constructor for class edu.cmu.minorthird.text.mixup.MixupInterpreter

MixupInterpreter(MixupProgram) - Constructor for class edu.cmu.minorthird.text.mixup.MixupInterpreter

MixupInterpreter(MixupProgram, MonotonicTextLabels) - Constructor for class edu.cmu.minorthird.text.mixup.MixupInterpreter

MixupProgram - Class in edu.cmu.minorthird.text.mixup

Modify a textlabeling using a series of mixup expressions.

MixupProgram() - Constructor for class edu.cmu.minorthird.text.mixup.MixupProgram

MixupProgram(String[]) - Constructor for class edu.cmu.minorthird.text.mixup.MixupProgram

Create a MixupProgram from an array of statements

MixupProgram(String) - Constructor for class edu.cmu.minorthird.text.mixup.MixupProgram

Create a MixupProgram from single string with a bunch of semicolon-separated statements.

MixupProgram(File) - Constructor for class edu.cmu.minorthird.text.mixup.MixupProgram

Create a MixupProgram from the contents of a file.

modify(Object, String) - Static method in class edu.cmu.minorthird.util.RefUtils

Returns a modified copy of the object.

monitorSelections(JList, Viewer.Transform) - Method in class edu.cmu.minorthird.util.gui.Viewer

Add a list selection listener which sends the appropriate viewer signal.

monitorSelections(JList) - Method in class edu.cmu.minorthird.util.gui.Viewer

Add a list selection listener which sends the appropriate viewer signal.

monitorSelections(JTable, int, Viewer.Transform) - Method in class edu.cmu.minorthird.util.gui.Viewer

Add a list selection listener which sends the appropriate viewer signal.

monitorSelections(JTable, int) - Method in class edu.cmu.minorthird.util.gui.Viewer

Add a list selection listener which sends the appropriate viewer signal.

MonotonicSubTextLabels - Class in edu.cmu.minorthird.text.learn.experiments

A subset of another TextLabels that can be added to.

MonotonicSubTextLabels(SubTextBase, MonotonicTextLabels) - Constructor for class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

MonotonicTextLabels - Interface in edu.cmu.minorthird.text

Maintains assertions about 'types' and 'properties' of contiguous Spans of these Seq's.

MostFrequentFirstLearner - Class in edu.cmu.minorthird.classify

Multi-class version of a binary classifier.

MostFrequentFirstLearner() - Constructor for class edu.cmu.minorthird.classify.MostFrequentFirstLearner

MostFrequentFirstLearner(ClassifierLearnerFactory) - Constructor for class edu.cmu.minorthird.classify.MostFrequentFirstLearner

Deprecated. use MostFrequentFirstLearner(BatchClassifierLearner learner)

MostFrequentFirstLearner(String) - Constructor for class edu.cmu.minorthird.classify.MostFrequentFirstLearner

MostFrequentFirstLearner(BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.MostFrequentFirstLearner

mpColor() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

mudelta2np(double, double, double) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

mudelta2np(double, double, double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

multi(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

multi(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

multi(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

multi - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

multi(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

multi - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

multi(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

multi(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

MultiClassHMMClassifier - Class in edu.cmu.minorthird.classify.sequential

MultiClassHMMClassifier(SequenceDataset) - Constructor for class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

MultiClassifiedDataset - Class in edu.cmu.minorthird.classify.multi

Pairs a dataset and a classifier, for easy inspection of the actions of a classifier.

MultiClassifiedDataset(MultiClassifier, MultiDataset, MultiDatasetIndex) - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset

MultiClassifiedDataset(MultiClassifier, MultiDataset) - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset

MultiClassifiedDataset.ExplanationViewer - Class in edu.cmu.minorthird.classify.multi

MultiClassifiedDataset.ExplanationViewer(Explanation) - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset.ExplanationViewer

MultiClassifier - Class in edu.cmu.minorthird.classify.multi

Interface for a multi label classifier.

MultiClassifier(Classifier[]) - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassifier

MultiClassifierAnnotator - Class in edu.cmu.minorthird.text.learn

An annotator that uses a learned Classifier to mark up document spans.

MultiClassifierAnnotator(SpanFeatureExtractor, MultiClassifier, String[]) - Constructor for class edu.cmu.minorthird.text.learn.MultiClassifierAnnotator

MultiClassifierTeacher - Class in edu.cmu.minorthird.classify.multi

Interface for something that trains multi label classifiers.

MultiClassifierTeacher() - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

MultiClassLabel - Class in edu.cmu.minorthird.classify.multi

A label which is associated with an instance---either by a classifier, or in training data.

MultiClassLabel() - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassLabel

MultiClassLabel(ClassLabel[]) - Constructor for class edu.cmu.minorthird.classify.multi.MultiClassLabel

MultiCrossValidatedDataset - Class in edu.cmu.minorthird.classify.multi

View result of some sort of train/test experiment for Data with Multiple Labels.

MultiCrossValidatedDataset(ClassifierLearner, MultiDataset, Splitter<MultiExample>) - Constructor for class edu.cmu.minorthird.classify.multi.MultiCrossValidatedDataset

MultiCrossValidatedDataset(ClassifierLearner, MultiDataset, Splitter<MultiExample>, boolean) - Constructor for class edu.cmu.minorthird.classify.multi.MultiCrossValidatedDataset

MultiCrossValidatedDataset(ClassifierLearner, MultiDataset, Splitter<MultiExample>, boolean, boolean) - Constructor for class edu.cmu.minorthird.classify.multi.MultiCrossValidatedDataset

MultiDataset - Class in edu.cmu.minorthird.classify.multi

A set of examples for learning.

MultiDataset() - Constructor for class edu.cmu.minorthird.classify.multi.MultiDataset

MultiDataset.MultiSplit - Class in edu.cmu.minorthird.classify.multi

MultiDataset.MultiSplit(Splitter<MultiExample>) - Constructor for class edu.cmu.minorthird.classify.multi.MultiDataset.MultiSplit

MultiDataset.SimpleDatasetViewer - Class in edu.cmu.minorthird.classify.multi

MultiDataset.SimpleDatasetViewer() - Constructor for class edu.cmu.minorthird.classify.multi.MultiDataset.SimpleDatasetViewer

MultiDatasetClassifierTeacher - Class in edu.cmu.minorthird.classify.multi

Trains a MultiClassifierLearner using the information in a labeled Dataset.

MultiDatasetClassifierTeacher(MultiDataset) - Constructor for class edu.cmu.minorthird.classify.multi.MultiDatasetClassifierTeacher

MultiDatasetIndex - Class in edu.cmu.minorthird.classify.multi

An inverted index, mapping features to examples which contain the features.

MultiDatasetIndex() - Constructor for class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

MultiDatasetIndex(MultiDataset) - Constructor for class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Construct an index of a dataset.

multiEvaluate(ClassifierLearner, MultiDataset, Splitter<MultiExample>) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do some sort of hold-out experiment, as determined by the splitter

multiEvaluate(ClassifierLearner, MultiDataset, Splitter<MultiExample>, boolean) - Static method in class edu.cmu.minorthird.classify.experiments.Tester

Do some sort of hold-out experiment, as determined by the splitter

MultiEvaluation - Class in edu.cmu.minorthird.classify.multi

Stores some detailed results of evaluating a classifier on data with multiple labels.

MultiEvaluation(MultiExampleSchema) - Constructor for class edu.cmu.minorthird.classify.multi.MultiEvaluation

Create an evaluation for databases with this schema

MultiEvaluation.EvaluationViewer - Class in edu.cmu.minorthird.classify.multi

MultiEvaluation.EvaluationViewer(int) - Constructor for class edu.cmu.minorthird.classify.multi.MultiEvaluation.EvaluationViewer

MultiExample - Class in edu.cmu.minorthird.classify.multi

An instance that is associated with a ClassLabel.

MultiExample(Instance, MultiClassLabel, double) - Constructor for class edu.cmu.minorthird.classify.multi.MultiExample

MultiExample(Instance, MultiClassLabel) - Constructor for class edu.cmu.minorthird.classify.multi.MultiExample

MultiExampleSchema - Class in edu.cmu.minorthird.classify.multi

Defines legal formats for examples with multiple labels.

MultiExampleSchema(ExampleSchema[]) - Constructor for class edu.cmu.minorthird.classify.multi.MultiExampleSchema

Create a new scheme with the given list of validClassNames

multiIterator() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

multiLabel(String, double) - Static method in class edu.cmu.minorthird.classify.ClassLabel

Create a binary label, either positive or negative, as appropriate, with the associated score (in logits).

multiLabelClassification(Instance) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

Returqn a predicted type for each element of the sequence.

multiLabelClassification(Instance) - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

MultiLearner - Class in edu.cmu.minorthird.classify.multi

ClassifierLearner for learning multiple dimensions

MultiLearner(ClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.multi.MultiLearner

MultiLearner() - Constructor for class edu.cmu.minorthird.classify.multi.MultiLearner

multiNegLabel(String, double) - Static method in class edu.cmu.minorthird.classify.ClassLabel

Create a positive binary label, with the associated score (in logits).

MultinomialClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

MultinomialClassifier() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

MultinomialClassifier - Class in edu.cmu.minorthird.classify.semisupervised

MultinomialClassifier() - Constructor for class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

multiply(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Multiply all weights by a factor

multiply(Feature, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Multiply one feature from the hyperplane by delta

multiPosLabel(String, double) - Static method in class edu.cmu.minorthird.classify.ClassLabel

Create a positive binary label, with the associated score (in logits).

multiSchema - Variable in class edu.cmu.minorthird.classify.multi.MultiLearner

multiSpanProp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

multiSpanPropFile - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

multiSpanPropFile(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

multiSpanPropFileName - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

MultiSplit(Splitter<MultiExample>) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

MutableCandidateSegmentGroup - Class in edu.cmu.minorthird.classify.sequential

A group of sliding windows associated with a sequence.

MutableCandidateSegmentGroup(int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

Creates a new holder for sliding-window instances.

MutableInstance - Class in edu.cmu.minorthird.classify

A single instance for a learner.

MutableInstance(Object, String) - Constructor for class edu.cmu.minorthird.classify.MutableInstance

MutableInstance(Object) - Constructor for class edu.cmu.minorthird.classify.MutableInstance

MutableInstance() - Constructor for class edu.cmu.minorthird.classify.MutableInstance

MutableTextBase - Class in edu.cmu.minorthird.text

MutableTextBase(Tokenizer) - Constructor for class edu.cmu.minorthird.text.MutableTextBase

MutableTextLabels - Interface in edu.cmu.minorthird.text

Maintains assertions about 'types' and 'properties' of Spans.

my_last - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

my_old - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

N

n - Variable in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

NaiveBayes - Class in edu.cmu.minorthird.classify.algorithms.linear

Naive Bayes algorithm.

NaiveBayes() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

name - Variable in class edu.cmu.minorthird.text.learn.SpanFE.Result

namedSubViews - Variable in class edu.cmu.minorthird.util.gui.Viewer

Maps String 'names' of subviews to viewers.

NameMatcher - Class in edu.cmu.minorthird.text.learn

A name matching scheme on top of a given extractor, fit for spanTypes depicting personal names.

NameMatcher(String) - Constructor for class edu.cmu.minorthird.text.learn.NameMatcher

NameMatcher() - Constructor for class edu.cmu.minorthird.text.learn.NameMatcher

NAMES - Static variable in class edu.cmu.minorthird.ui.advancedParameters

NEG_CLASS_NAME - Static variable in class edu.cmu.minorthird.classify.ExampleSchema

NegativeBinomial - Class in edu.cmu.minorthird.classify.algorithms.random

NegativeBinomial(int, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

NegativeBinomialClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

A generative Model for word-counts based on the Negative-Binomial Distribution.

NegativeBinomialClassifier() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

NegativeBinomialLearner - Class in edu.cmu.minorthird.classify.algorithms.linear

Naive Bayes Negative-Binomial Classifier Learner.

NegativeBinomialLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialLearner

NegativeBinomialLearner(double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialLearner

negativeLabel(double) - Static method in class edu.cmu.minorthird.classify.ClassLabel

Create a negative binary label, with the associated score (in logits).

negTest - Static variable in class edu.cmu.minorthird.classify.SampleDatasets

negTrain - Static variable in class edu.cmu.minorthird.classify.SampleDatasets

NestedTextLabels - Class in edu.cmu.minorthird.text

A TextLabels which is defined by two TextLabels's.

NestedTextLabels(MonotonicTextLabels, TextLabels) - Constructor for class edu.cmu.minorthird.text.NestedTextLabels

Create a NestedTextLabels.

NestedTextLabels(TextLabels) - Constructor for class edu.cmu.minorthird.text.NestedTextLabels

Create a NestedTextLabels with an empty outer labeling.

newBias() - Method in class edu.cmu.minorthird.classify.sequential.CMMTweaker

Return the value of bias term after tweaking.

newBias(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

newObjectFromBSH(String, Class<?>) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Create a new object from a fragment of bean shell code, and make sure it's the correct type.

newSourcedExampleViewer() - Static method in class edu.cmu.minorthird.classify.GUI

Create and return a viewer which shows features of an example, plus it's source in another window.

newSourcedMultiExampleViewer() - Static method in class edu.cmu.minorthird.classify.multi.GUI

Create and return a viewer which shows features of an example, plus it's source in another window.

next() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance.FeatureArrayIterator

next() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance.MyIterator

next() - Method in class edu.cmu.minorthird.text.SpanDifference.Looper

next() - Method in class edu.cmu.minorthird.util.AbstractLooper

next() - Method in class edu.cmu.minorthird.util.UnionIterator

nextCursor - Variable in class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

nextDouble() - Method in class edu.cmu.minorthird.classify.algorithms.random.Gamma

Returns a random number from the distribution.

nextDouble(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.random.Gamma

Returns a random number from the distribution; bypasses the internal state.

nextDouble() - Method in class edu.cmu.minorthird.classify.algorithms.random.Normal

Returns a random number from the distribution.

nextDouble(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.random.Normal

Returns a random number from the distribution; bypasses the internal state.

nextInt() - Method in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

nextInt(int, double) - Method in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

nextInt() - Method in class edu.cmu.minorthird.classify.algorithms.random.Poisson

Returns a random number from the distribution.

nextInt(double) - Method in class edu.cmu.minorthird.classify.algorithms.random.Poisson

Returns a random number from the distribution.

nextQuery() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

nextQuery() - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

nextQuery() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Returns an Instance for which the learner would like a label.

nextQuery() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

nextQuery() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

nextQuery() - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

nextQuery() - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

nextQuery() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

nextQuery() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Return the next unlabeled document.

nextQuery() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Returns an Span which the learner would like labeled.

nextQuery() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

nextQuery() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Return the next unlabeled document.

nextToken - Variable in class edu.cmu.minorthird.text.mixup.Mixup.MixupTokenizer

noCharTypePattern() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE.MyCLP

noCharTypePattern() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

noCharTypes() - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE.MyCLP

noCharTypes() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

nodeArrayToInstance(svm_node[], FeatureFactory) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

creates an instance from the node array

nodeToFeature(svm_node, FeatureFactory) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

convert a svm_node to a feature

noFirst() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

noInternal() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

noLabelsMessage(Console) - Method in class edu.cmu.minorthird.ui.UIMain

noLast() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

noLength() - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

NONE - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

Normal - Class in edu.cmu.minorthird.classify.algorithms.random

Normal (aka Gaussian) distribution; See the math definition and animated definition.

Normal() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Normal

normalizeWeights(Example, boolean) - Static method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow

1- adds a dummy feature(optional) 2- Divides the weights of features by the sum of the norm of of all features in Example

NOT_START_OR_END - Static variable in class edu.cmu.minorthird.text.learn.AnnotationExample

noTokenValues() - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

nuHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

NULL_CLASS_NAME - Static variable in interface edu.cmu.minorthird.classify.sequential.SequenceConstants

NULL_DISPLAY_TYPE - Static variable in class edu.cmu.minorthird.text.gui.TextBaseViewer

NULL_TRUTH_ENTRY - Static variable in class edu.cmu.minorthird.text.gui.TextBaseViewer

nullSpan() - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

numberOfEpochs - Variable in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

numberOfEpochs - Variable in class edu.cmu.minorthird.classify.sequential.HMMLearner

numberOfExamplesByClass() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of examples in all classes 1 to K.

numberOfExamplesByClass(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of examples in all classes 1 to K with partitionID = ID.

numberOfFeatures() - Method in class edu.cmu.minorthird.classify.DatasetIndex

Number of features indexed.

numberOfFeatures() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Number of features indexed.

numberOfInstances() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of all instances.

numberOfInstances(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of all instances.

numberOfMatches(String, String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

numberOfNegativeExamples() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of all NEGATIVE examples.

numberOfNegativeExamples(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of all NEGATIVE examples with partitionID = ID.

numberOfPositiveExamples() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of all POSITIVE examples.

numberOfPositiveExamples(int) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Total weight of all POSITIVE examples with partitionID = ID.

numberOfSequences() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Return the number of sequences.

numberOfValues() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The number of accumulated values.

numDimensions() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Return the number of dimensions in the multiLabel

numDimensions() - Method in class edu.cmu.minorthird.classify.multi.MultiExampleSchema

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.Example

Return an iterator over all numeric features

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

numericFeatureIterator() - Method in interface edu.cmu.minorthird.classify.Instance

Return an iterator over all numeric features.

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.MutableInstance

Return an iterator over all numeric features

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

numericFeatureIterator() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

Return an iterator over numeric features

numericLabel() - Method in class edu.cmu.minorthird.classify.ClassLabel

Return a numeric score of +1, or -1 for a binary example

numericLabel() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Return a numeric score of +1, or -1 for a binary example

numericName() - Method in class edu.cmu.minorthird.classify.Feature

This is used for algorithms which only support a vector of features (such as SVM).

numErrors() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

numExamples() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

numFeatures() - Method in class edu.cmu.minorthird.classify.Example

Return the number of all features

numFeatures() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

numFeatures() - Method in interface edu.cmu.minorthird.classify.Instance

Return the number of all the features

numFeatures() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

numFeatures() - Method in class edu.cmu.minorthird.classify.MutableInstance

numFeatures() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

numFeatures() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

numFeatures() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

numFeatures() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

numPosExamples - Variable in class edu.cmu.minorthird.classify.multi.MultiDataset

O

OBJECT_SELECTED - Static variable in class edu.cmu.minorthird.util.gui.Viewer

OBJECT_UPDATED - Static variable in class edu.cmu.minorthird.util.gui.Viewer

ocdEditor - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

offLevel(String) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Moves up one level in the stack of labels

oldBias() - Method in class edu.cmu.minorthird.classify.sequential.CMMTweaker

Return the value of bias term before the last tweak.

OneVsAllClassifier - Class in edu.cmu.minorthird.classify

A Classifier composed of a bunch of binary classifiers, each of which separates one class from the others.

OneVsAllClassifier(String[], Classifier[]) - Constructor for class edu.cmu.minorthird.classify.OneVsAllClassifier

Create a OneVsAllClassifier.

OneVsAllLearner - Class in edu.cmu.minorthird.classify

Multi-class version of a binary classifier.

OneVsAllLearner() - Constructor for class edu.cmu.minorthird.classify.OneVsAllLearner

OneVsAllLearner(ClassifierLearnerFactory) - Constructor for class edu.cmu.minorthird.classify.OneVsAllLearner

Deprecated. use OneVsAllLearner(BatchClassifierLearner learner)

OneVsAllLearner(String) - Constructor for class edu.cmu.minorthird.classify.OneVsAllLearner

OneVsAllLearner(ClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.OneVsAllLearner

OneVsAllLearner.IllegalArgumentException - Exception in edu.cmu.minorthird.classify

OneVsAllLearner.IllegalArgumentException(String) - Constructor for exception edu.cmu.minorthird.classify.OneVsAllLearner.IllegalArgumentException

onLevel(String) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Makes the current level be the given level name.

OnlineBinaryClassifierLearner - Class in edu.cmu.minorthird.classify

Abstract class which implements the 'getBinaryClassifier' method of BinaryClassifierLearner's.

OnlineBinaryClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner

OnlineBinaryTextClassifierLearner - Class in edu.cmu.minorthird.text.learn

Provides a way to Edit document labels and add them to the learner

OnlineBinaryTextClassifierLearner(OnlineClassifierLearner, String) - Constructor for class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

OnlineBinaryTextClassifierLearner(OnlineClassifierLearner, String, TextLabels) - Constructor for class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

OnlineBinaryTextClassifierLearner(OnlineClassifierLearner, String, TextLabels, SpanFeatureExtractor) - Constructor for class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

OnlineClassifierDocumentEditor - Class in edu.cmu.minorthird.text.gui

Interactivly edit the documents for an OnlineLearning Experiment

OnlineClassifierDocumentEditor(OnlineTextClassifierLearner, TextLabels, TextBaseViewer, MutableTextLabels, JList, SpanPainter, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

OnlineClassifierDocumentEditor.EditedSpan - Class in edu.cmu.minorthird.text.gui

Stores a documentSpan, its label, its index, and whether or not it has been added to the Classifier

OnlineClassifierDocumentEditor.EditedSpan(Span, String, int) - Constructor for class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.EditedSpan

OnlineClassifierDocumentEditor.MoveOnlineDocumentCursor - Class in edu.cmu.minorthird.text.gui

Move through list of spans

OnlineClassifierDocumentEditor.MoveOnlineDocumentCursor(String, int) - Constructor for class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.MoveOnlineDocumentCursor

OnlineClassifierLearner - Class in edu.cmu.minorthird.classify

Abstract ClassifierLearner which instantiates the teacher-learner protocol so as to implement a standard on-line learner.

OnlineClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.OnlineClassifierLearner

OnlineLearner - Class in edu.cmu.minorthird.ui

Start an Online Learner

OnlineLearner() - Constructor for class edu.cmu.minorthird.ui.OnlineLearner

OnlineLearnerEditor - Class in edu.cmu.minorthird.text.gui

Interactively edit the contents of a TextBase and MutableTextLabels.

OnlineLearnerEditor(String[]) - Constructor for class edu.cmu.minorthird.text.gui.OnlineLearnerEditor

OnlineLearnerEditor(TextBase, TextLabels, MutableTextLabels, String, StatusMessage, boolean, OnlineTextClassifierLearner) - Constructor for class edu.cmu.minorthird.text.gui.OnlineLearnerEditor

OnlineLearnerEditor.EditTypeAction - Class in edu.cmu.minorthird.text.gui

Change the type of span being edited.

OnlineLearnerEditor.EditTypeAction(JComboBox, JComboBox, OnlineClassifierDocumentEditor) - Constructor for class edu.cmu.minorthird.text.gui.OnlineLearnerEditor.EditTypeAction

OnlineTextClassifierLearner - Interface in edu.cmu.minorthird.text.learn

Interface for OnlineLearner.

OnlineVersion - Class in edu.cmu.minorthird.classify

Online version of a BatchClassifierLearner.

OnlineVersion(BatchClassifierLearner, double, OnlineClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.OnlineVersion

Emulate on-line learning with a batch algorithm.

OnlineVersion(BatchClassifierLearner, double) - Constructor for class edu.cmu.minorthird.classify.OnlineVersion

OnlineVersion(BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.OnlineVersion

OnlineVersion() - Constructor for class edu.cmu.minorthird.classify.OnlineVersion

op - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

option(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

option(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

OrderBasedInstanceTransform - Class in edu.cmu.minorthird.classify.transform

OrderBasedInstanceTransform() - Constructor for class edu.cmu.minorthird.classify.transform.OrderBasedInstanceTransform

Constructor

OrderBasedTransformLearner - Class in edu.cmu.minorthird.classify.transform

A simple feature filter based on orderings.

OrderBasedTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.OrderBasedTransformLearner

Constructors

OrderBasedTransformLearner(String) - Constructor for class edu.cmu.minorthird.classify.transform.OrderBasedTransformLearner

other(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

other(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

other(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

output - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

output(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

output - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

output(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

output - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

output(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

outputType - Variable in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

OUTSIDE - Static variable in class edu.cmu.minorthird.text.learn.AnnotationExample

overlaps(Span) - Method in class edu.cmu.minorthird.text.BasicSpan

overlaps(Span) - Method in interface edu.cmu.minorthird.text.Span

Check overlap

P

p - Variable in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

p - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p0 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p1 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p2 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p3 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p4 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p5 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

p6 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

paintDocument(String) - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

ParallelViewer - Class in edu.cmu.minorthird.util.gui

Conceptually this allows one to view several parallel aspects of a single object.

ParallelViewer() - Constructor for class edu.cmu.minorthird.util.gui.ParallelViewer

parameterSVMTypeHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

parentTokenizer - Variable in class edu.cmu.minorthird.text.CompoundTokenizer

PassiveAggressiveLearner - Class in edu.cmu.minorthird.classify.algorithms.linear

Created on Sep 26, 2005

PassiveAggressiveLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

PassiveAggressiveLearner(double, double, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

poisson - Variable in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

Poisson - Class in edu.cmu.minorthird.classify.algorithms.random

Poisson distribution (quick); See the math definition and animated definition.

Poisson(double) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.Poisson

Constructs a poisson distribution.

PoissonLearner - Class in edu.cmu.minorthird.classify.algorithms.linear

Naive Bayes Poisson Classifier.

PoissonLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.PoissonLearner

PoissonLearner(double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.PoissonLearner

populationStdDev() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The population standard devation of the accumulated values.

POS_CLASS_NAME - Static variable in class edu.cmu.minorthird.classify.ExampleSchema

positiveLabel(double) - Static method in class edu.cmu.minorthird.classify.ClassLabel

Create a positive binary label, with the associated score (in logits).

PositiveScoresTransformClassifier - Class in edu.cmu.minorthird.classify.transform

PositiveScoresTransformClassifier(Classifier, Dataset) - Constructor for class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

posProbability() - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the probability of the positive class name

posProbability() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the probability of the positive class name

possibleLabels() - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the set of labels that appear in the ranking.

possibleLabels() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the set of labels that appear in the ranking.

POSTag(String) - Static method in class edu.cmu.minorthird.text.MinorTagger

Tag text with part-of-speech (plain text only)

POSTag(String) - Static method in class edu.cmu.minorthird.text.POSTagger

POSTagger - Class in edu.cmu.minorthird.text

Adds part of speech tags to a TextLabels.

POSTagger() - Constructor for class edu.cmu.minorthird.text.POSTagger

PosteriorProb - Class in edu.cmu.minorthird.classify.sequential

posTest - Static variable in class edu.cmu.minorthird.classify.SampleDatasets

posTrain - Static variable in class edu.cmu.minorthird.classify.SampleDatasets

posWeight() - Method in class edu.cmu.minorthird.classify.ClassLabel

Returns the weight of the positive class name

posWeight() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

Returns the weight of the positive class name

pp - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

precision() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

precisionRecallScore() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Return array of precision,recall,logitScore.

predicted(String) - Method in class edu.cmu.minorthird.text.SpanDifference.Invoker

PredictedClassTransform - Class in edu.cmu.minorthird.classify.transform

PredictedClassTransform(MultiClassifier) - Constructor for class edu.cmu.minorthird.classify.transform.PredictedClassTransform

predictedType - Variable in class edu.cmu.minorthird.text.SpanDifference.Invoker

preferredLocation() - Method in class edu.cmu.minorthird.text.gui.MarkupControls

preferredLocation() - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

preferredLocation() - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Override this with one of the other values to help ControlledViewer decide where to place the controls.

prefersToBeResized() - Method in class edu.cmu.minorthird.text.gui.MarkupControls

prefersToBeResized() - Method in class edu.cmu.minorthird.text.gui.MinimalMarkupControls

prefersToBeResized() - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Override this with one of the other values to help ControlledViewer decide whether to allow the ViewerControls to be resizable

prepareSequenceData(TextLabels, String, String, SpanFeatureExtractor, int, Extraction2TaggingReduction) - Static method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

A useful subroutine - prepare sequence data the way a SequenceAnnotatorLearner would prepare it when trained by a TextLabelsAnnotatorTeacher.

PreprocessTextForClassifier - Class in edu.cmu.minorthird.ui

Preprocess text data for classification.

PreprocessTextForClassifier() - Constructor for class edu.cmu.minorthird.ui.PreprocessTextForClassifier

PreprocessTextForClassifier.LinkFileParams - Class in edu.cmu.minorthird.ui

PreprocessTextForClassifier.LinkFileParams() - Constructor for class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

PreprocessTextForExtractor - Class in edu.cmu.minorthird.ui

Preprocess extraction text data for sequential learning methods.

PreprocessTextForExtractor() - Constructor for class edu.cmu.minorthird.ui.PreprocessTextForExtractor

PreprocessTextForExtractor.ExtractionReductionParams - Class in edu.cmu.minorthird.ui

PreprocessTextForExtractor.ExtractionReductionParams() - Constructor for class edu.cmu.minorthird.ui.PreprocessTextForExtractor.ExtractionReductionParams

print() - Method in class edu.cmu.minorthird.text.learn.FreqAnal

printAccStats() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

printTypesAsOps(TextLabels) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Save extracted data in a format readable with loadOps.

ProbabilityFactory - Class in edu.cmu.minorthird.classify.algorithms.random

ProbabilityFactory() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

ProbSigmaGivenTauX(double, double, double[], double[], double, double, double, double, double[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

ProbTauGivenSigmaX(double, double, double[], double[], double, double, double, double, double[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

processArguments(String[]) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

processArguments(String[]) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

processArguments(String[]) - Method in interface edu.cmu.minorthird.util.CommandLineProcessor

Loop thru the command-line arguments.

processArguments(String[]) - Method in class edu.cmu.minorthird.util.JointCommandLineProcessor

progress() - Method in class edu.cmu.minorthird.util.ProgressCounter

Record one step of progress on the task

ProgressCounter - Class in edu.cmu.minorthird.util

ProgressCounter(String, String, int) - Constructor for class edu.cmu.minorthird.util.ProgressCounter

ProgressCounter(String, int) - Constructor for class edu.cmu.minorthird.util.ProgressCounter

ProgressCounter(String, String) - Constructor for class edu.cmu.minorthird.util.ProgressCounter

ProgressCounter(String) - Constructor for class edu.cmu.minorthird.util.ProgressCounter

prop(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

Find the value of some given property.

propertyList() - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

A list of arguments from the command line, in order.

propertyValue(String) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

The value assigned to a property from the command line.

PROVIDE - Static variable in class edu.cmu.minorthird.text.mixup.Statement

PROVIDED_ANNOTATION - Static variable in class edu.cmu.minorthird.text.ExtractAbbrev

The annotation type provided by this annotator.

providedAnnotation - Variable in class edu.cmu.minorthird.text.StringAnnotator

punctuationPercentage(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Returns the percentage of punctuation (\p{punct}) characters in a line

punk() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

putTabsOnLeft() - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

Change default look of tabbed pane to put tabs on the left

Q

q - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

QueryByCommittee - Class in edu.cmu.minorthird.classify.algorithms.active

Implements the query-by-committee algorithm, using bagging to generate a committee.

QueryByCommittee() - Constructor for class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

QueryByCommittee(BatchClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

R

r1 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

r2 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

r4 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

r5 - Variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

RandomAccessDataset - Class in edu.cmu.minorthird.classify

A dataset which supports random access to the examples.

RandomAccessDataset() - Constructor for class edu.cmu.minorthird.classify.RandomAccessDataset

RandomElement - Class in edu.cmu.minorthird.classify.algorithms.random

RandomElement() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.RandomElement

RandomElement(int, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.RandomElement

RandomElement(long) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.RandomElement

RandomElement(Date) - Constructor for class edu.cmu.minorthird.classify.algorithms.random.RandomElement

RandomForests - Class in edu.cmu.minorthird.classify.algorithms.trees

Random Forests implementation.

RandomForests() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomForests

RandomForests(int) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomForests

RandomForests(RandomTreeLearner, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomForests

RandomForests.VotingClassifier - Class in edu.cmu.minorthird.classify.algorithms.trees

A set of RandomTree Classifiers FIXME!! All of this stuff is copied directly for AdaBoost with (very) minor modifications

RandomForests.VotingClassifier(List<BinaryClassifier>) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

RandomSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

Split into one train, one test partition.

RandomSplitter(Random, double) - Constructor for class edu.cmu.minorthird.classify.experiments.RandomSplitter

RandomSplitter(double) - Constructor for class edu.cmu.minorthird.classify.experiments.RandomSplitter

RandomSplitter() - Constructor for class edu.cmu.minorthird.classify.experiments.RandomSplitter

RandomTreeLearner - Class in edu.cmu.minorthird.classify.algorithms.trees

Implement a random decision tree to be used in the random forest learner.

RandomTreeLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner

RandomTreeLearner(RandomTreeLearner.TreeSplitter) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner

RandomTreeLearner.BestOfNRandomTreeSplitter - Class in edu.cmu.minorthird.classify.algorithms.trees

RandomTreeLearner.BestOfNRandomTreeSplitter(int) - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner.BestOfNRandomTreeSplitter

RandomTreeLearner.RandomTreeSplitter - Class in edu.cmu.minorthird.classify.algorithms.trees

RandomTreeLearner.RandomTreeSplitter() - Constructor for class edu.cmu.minorthird.classify.algorithms.trees.RandomTreeLearner.RandomTreeSplitter

RandomTreeLearner.TreeSplitter - Interface in edu.cmu.minorthird.classify.algorithms.trees

RankingBoosted - Class in edu.cmu.minorthird.classify.ranking

A boosted version for ranking.

RankingBoosted() - Constructor for class edu.cmu.minorthird.classify.ranking.RankingBoosted

RankingBoosted(int, int) - Constructor for class edu.cmu.minorthird.classify.ranking.RankingBoosted

RankingEvaluation - Class in edu.cmu.minorthird.classify.ranking

Evaluate a classifier as a ranker

RankingEvaluation() - Constructor for class edu.cmu.minorthird.classify.ranking.RankingEvaluation

RankingEvaluation.MyCLP - Class in edu.cmu.minorthird.classify.ranking

RankingEvaluation.MyCLP() - Constructor for class edu.cmu.minorthird.classify.ranking.RankingEvaluation.MyCLP

RankingExpt - Class in edu.cmu.minorthird.classify.ranking

Learn from examples a GraphSearcher that re-ranks examples based on scores from a learned classifier.

RankingExpt() - Constructor for class edu.cmu.minorthird.classify.ranking.RankingExpt

RankingExpt.MyCLP - Class in edu.cmu.minorthird.classify.ranking

RankingExpt.MyCLP() - Constructor for class edu.cmu.minorthird.classify.ranking.RankingExpt.MyCLP

RankingPerceptron - Class in edu.cmu.minorthird.classify.ranking

A ranking method based on a voted perceptron.

RankingPerceptron() - Constructor for class edu.cmu.minorthird.classify.ranking.RankingPerceptron

RankingPerceptron(int) - Constructor for class edu.cmu.minorthird.classify.ranking.RankingPerceptron

raw() - Method in class edu.cmu.minorthird.classify.algorithms.random.RandomElement

raw(double[], int) - Method in class edu.cmu.minorthird.classify.algorithms.random.RandomElement

rbinom(int, double, double) - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Genrates a vector of n doubles distributed according to a Binomial with parameters: mu = mu and delta = delta

readBsh(File, File) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

readFile(File) - Static method in class edu.cmu.minorthird.util.IOUtil

Reads a file and converts it to a String via a byte array and inputStream.available() I'm not positive that inputStream.available() works the same under multi-threading

readFile(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Method to read a file and turn it into a string - based on rcwang's code

RealRelationalDataset - Class in edu.cmu.minorthird.classify.relational

A real set of examples for stacked graphical learning -- coreset + relational template.

RealRelationalDataset() - Constructor for class edu.cmu.minorthird.classify.relational.RealRelationalDataset

recall() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

recallTopK(int, double) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Recall in the top K, excluding items with scorereceiveContent(Object) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.ComponentViewer

Get new content.

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.MessageViewer

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.ParallelViewer

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.Viewer

Called when new content obtained.

receiveContent(Object) - Method in class edu.cmu.minorthird.util.gui.ZoomedViewer

Recommended - Class in edu.cmu.minorthird.ui

In Minorthird it is possible to build up constructs like learners, feature extractors, and so on compositionally, out of simpler pieces.

Recommended() - Constructor for class edu.cmu.minorthird.ui.Recommended

Recommended.BoostedDecisionTreeLearner - Class in edu.cmu.minorthird.ui

Uses AdaBoost to boosts the default decision tree learner 10 times.

Recommended.BoostedDecisionTreeLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.BoostedDecisionTreeLearner

Recommended.BoostedStumpLearner - Class in edu.cmu.minorthird.ui

Uses AdaBoost to boosts a two-level decision tree learner 100 times.

Recommended.BoostedStumpLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.BoostedStumpLearner

Recommended.CascadingBinaryLearner - Class in edu.cmu.minorthird.ui

Recommended.CascadingBinaryLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.CascadingBinaryLearner

Recommended.CRFAnnotatorLearner - Class in edu.cmu.minorthird.ui

Implements the CRF algorithm.

Recommended.CRFAnnotatorLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.CRFAnnotatorLearner

Recommended.DecisionTreeLearner - Class in edu.cmu.minorthird.ui

A simple decision tree learner.

Recommended.DecisionTreeLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.DecisionTreeLearner

Recommended.DocumentFE - Class in edu.cmu.minorthird.ui

A simple bag-of-words feature extractor.

Recommended.DocumentFE() - Constructor for class edu.cmu.minorthird.ui.Recommended.DocumentFE

Recommended.HMMAnnotatorLearner - Class in edu.cmu.minorthird.ui

a hidden Markov model (HMM), by zkou

Recommended.HMMAnnotatorLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.HMMAnnotatorLearner

Recommended.HMMTokenFE - Class in edu.cmu.minorthird.ui

Recommended.HMMTokenFE() - Constructor for class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

Recommended.HMMTokenFE.MyCLP - Class in edu.cmu.minorthird.ui

Recommended.HMMTokenFE.MyCLP() - Constructor for class edu.cmu.minorthird.ui.Recommended.HMMTokenFE.MyCLP

Recommended.KnnLearner - Class in edu.cmu.minorthird.ui

K-NN learner following Yang and Chute.

Recommended.KnnLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.KnnLearner

Recommended.MaxEntLearner - Class in edu.cmu.minorthird.ui

A maximum entropy learner.

Recommended.MaxEntLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.MaxEntLearner

Recommended.MEMMLearner - Class in edu.cmu.minorthird.ui

Uses logistic regression/Maximum entropy to learn a condition Markov model (CMM), aka "maxent Markov model" (MEMM).

Recommended.MEMMLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.MEMMLearner

Recommended.MostFrequentFirstLearner - Class in edu.cmu.minorthird.ui

Recommended.MostFrequentFirstLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.MostFrequentFirstLearner

Recommended.MultitokenSpanFE - Class in edu.cmu.minorthird.ui

An extraction-oriented feature extractor to apply to multi-token spans.

Recommended.MultitokenSpanFE() - Constructor for class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

Recommended.MultitokenSpanFE.MyCLP - Class in edu.cmu.minorthird.ui

Recommended.MultitokenSpanFE.MyCLP() - Constructor for class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE.MyCLP

Recommended.NaiveBayes - Class in edu.cmu.minorthird.ui

Multinomial Naive Bayes, as in McCallum's Rainbow package.

Recommended.NaiveBayes() - Constructor for class edu.cmu.minorthird.ui.Recommended.NaiveBayes

Recommended.OneVsAllLearner - Class in edu.cmu.minorthird.ui

Recommended.OneVsAllLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.OneVsAllLearner

Recommended.SemiCRFAnnotatorLearner - Class in edu.cmu.minorthird.ui

Learns a semi-Markovian extension of CRFs.

Recommended.SemiCRFAnnotatorLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.SemiCRFAnnotatorLearner

Extracted entities must be of length 4 or less.

Recommended.SemiCRFAnnotatorLearner(int, int) - Constructor for class edu.cmu.minorthird.ui.Recommended.SemiCRFAnnotatorLearner

Recommended.SVMCMMLearner - Class in edu.cmu.minorthird.ui

Uses probabilistic SVM to learn a condition Markov model (CMM).

Recommended.SVMCMMLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.SVMCMMLearner

Recommended.SVMLearner - Class in edu.cmu.minorthird.ui

A simple SVM learner with a linear kernel.

Recommended.SVMLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.SVMLearner

Recommended.TokenFE - Class in edu.cmu.minorthird.ui

An extraction-oriented feature extractor, which should be applied to one-token spans.

Recommended.TokenFE() - Constructor for class edu.cmu.minorthird.ui.Recommended.TokenFE

Recommended.TokenFE.MyCLP - Class in edu.cmu.minorthird.ui

Recommended.TokenFE.MyCLP() - Constructor for class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

Recommended.TokenPropUsingFE - Class in edu.cmu.minorthird.ui

A simple bag-of-words feature extractor, with words being put in lower case.

Recommended.TokenPropUsingFE() - Constructor for class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

Recommended.TweakedLearner - Class in edu.cmu.minorthird.ui

A Tweaked Learner, with an optimization of the precision vs.

Recommended.TweakedLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.TweakedLearner

Recommended.VotedPerceptronLearner - Class in edu.cmu.minorthird.ui

Voted perceptron learning following Freund & Schapire.

Recommended.VotedPerceptronLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.VotedPerceptronLearner

Recommended.VPCMMLearner - Class in edu.cmu.minorthird.ui

Uses the voted perceptron algorithm to learn a "conditional Markov model" (CMM).

Recommended.VPCMMLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.VPCMMLearner

Recommended.VPHMMLearner - Class in edu.cmu.minorthird.ui

Uses the voted perceptron algorithm to learn a parameters of a hidden Markov model (HMM).

Recommended.VPHMMLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.VPHMMLearner

Recommended.VPSMMLearner - Class in edu.cmu.minorthird.ui

Uses the voted perceptron algorithm to learn the parameters for a hidden semi-Markov model (SMM).

Recommended.VPSMMLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.VPSMMLearner

Extracted entities must be of length 4 or less.

Recommended.VPSMMLearner(int) - Constructor for class edu.cmu.minorthird.ui.Recommended.VPSMMLearner

Recommended.VPSMMLearner2 - Class in edu.cmu.minorthird.ui

Uses the voted perceptron algorithm to learn the parameters for a hidden semi-Markov model (SMM).

Recommended.VPSMMLearner2() - Constructor for class edu.cmu.minorthird.ui.Recommended.VPSMMLearner2

Extracted entities must be of length 4 or less.

Recommended.VPSMMLearner2(int, int) - Constructor for class edu.cmu.minorthird.ui.Recommended.VPSMMLearner2

Recommended.VPTagLearner - Class in edu.cmu.minorthird.ui

Recommended.VPTagLearner() - Constructor for class edu.cmu.minorthird.ui.Recommended.VPTagLearner

reduceExtraction2Tagging(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.BeginContinueEndUniqueReduction

reduceExtraction2Tagging(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.BeginContinueOutsideReduction

reduceExtraction2Tagging(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.Extraction2TaggingReduction

Convert the information in a single annotation example to token 'tags' (token properties, assigned to every token).

reduceExtraction2Tagging(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.InsideOutsideReduction

reduction - Variable in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

reduction(String) - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor.ExtractionReductionParams

reduction - Variable in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

RefUtils - Class in edu.cmu.minorthird.util

Utilities for reflection.

RefUtils() - Constructor for class edu.cmu.minorthird.util.RefUtils

REGEX - Static variable in class edu.cmu.minorthird.text.mixup.Statement

regexPattern - Variable in class edu.cmu.minorthird.text.RegexTokenizer

RegexTokenizer - Class in edu.cmu.minorthird.text

Maintains information about what's in a set of documents.

RegexTokenizer() - Constructor for class edu.cmu.minorthird.text.RegexTokenizer

RegexTokenizer(String) - Constructor for class edu.cmu.minorthird.text.RegexTokenizer

RegretWinnow - Class in edu.cmu.minorthird.classify.algorithms.linear

Created on Sep 22, 2005

RegretWinnow() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

RegretWinnow(double, double, boolean, int) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

RegretWinnow.MyClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

RegretWinnow.MyClassifier(Hyperplane, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

reLabelText() - Method in class edu.cmu.minorthird.text.LabeledDirectory

Re-label the text files in the directory.

remove() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance.FeatureArrayIterator

remove() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance.MyIterator

remove(int, int) - Method in class edu.cmu.minorthird.text.gui.SpanDocument

Overrides default insertString, since insertions are not allowed.

remove() - Method in class edu.cmu.minorthird.text.SpanDifference.Looper

remove() - Method in class edu.cmu.minorthird.util.AbstractLooper

remove() - Method in class edu.cmu.minorthird.util.UnionIterator

removeLogSpaceOption() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

REPOSITORY_PROP - Static variable in class edu.cmu.minorthird.text.FancyLoader

Property defining root of repository

repositoryKey - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

repositoryKey - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

repositoryKey - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

require(String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

require(String, String, AnnotatorLoader) - Method in class edu.cmu.minorthird.text.BasicTextLabels

require(String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

require(String, String, AnnotatorLoader) - Method in class edu.cmu.minorthird.text.EmptyLabels

require(String) - Method in class edu.cmu.minorthird.text.LabeledDirectory.MyCLP

require(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

require(String, String, AnnotatorLoader) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

require(String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

require(String, String, AnnotatorLoader) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

REQUIRE - Static variable in class edu.cmu.minorthird.text.mixup.Statement

require(String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

require(String, String, AnnotatorLoader) - Method in class edu.cmu.minorthird.text.NestedTextLabels

require(String, String) - Method in interface edu.cmu.minorthird.text.TextLabels

Ensure that this TextLabels contains a particular type of annotation.

require(String, String, AnnotatorLoader) - Method in interface edu.cmu.minorthird.text.TextLabels

Ensure that this TextLabels contains a particular type of annotation.

requiredAnnotation - Variable in class edu.cmu.minorthird.text.learn.SpanFE

requiredAnnotationFileToLoad - Variable in class edu.cmu.minorthird.text.learn.SpanFE

requireMyAnnotation(TextLabels) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Make sure the required annotation is present.

reset() - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

reset() - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BBMira

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron

reset() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow

reset() - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

reset() - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Forget everything and prepare for a new learning session.

reset() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

reset() - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

reset() - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

reset() - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

'forget' everything about the last learning task, and start a new task.

reset() - Method in class edu.cmu.minorthird.classify.OnlineVersion

reset() - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

reset() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

reset() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

reset() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

reset() - Method in class edu.cmu.minorthird.text.LabeledDirectory.MyCLP

reset() - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

reset() - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

reset() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

reset() - Method in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

Erases all previous data from the learner

reset() - Method in interface edu.cmu.minorthird.text.learn.OnlineTextClassifierLearner

Erases all previous data from the learner

reset() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

resetHighlights() - Method in class edu.cmu.minorthird.text.gui.SpanDocument

Clear all highlights.

restore(File) - Method in class edu.cmu.minorthird.classify.BasicDataset

restore(File) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

restore(File) - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

restore(File) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

restore(File) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

restore(File) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

restore(File) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

restore(File) - Method in class edu.cmu.minorthird.text.BasicTextLabels

restore(File) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

restore(File) - Method in interface edu.cmu.minorthird.util.Saveable

Restore the object from a file.

result - Variable in class edu.cmu.minorthird.ui.TrainTestClassifier

result - Variable in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

resultToSave - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

resultToSave - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

resultToSave - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

resultToShow - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

resultToShow - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

resultToShow - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

resultToShow - Variable in class edu.cmu.minorthird.classify.Test.DataClassificationTask

resultToShow - Variable in class edu.cmu.minorthird.classify.Train.DataClassificationTask

resultToShow - Variable in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

resultToShow - Variable in class edu.cmu.minorthird.classify.UI.DataClassificationTask

retokenize(Tokenizer, String, String) - Method in class edu.cmu.minorthird.text.TextBaseManager

Creates a new TextBase named newLevelName from an existing TextBase named parentLevelName.

reweight(Feature, Instance) - Method in interface edu.cmu.minorthird.classify.transform.FeatureReweighter

New weight for feature f in the given instance.

ReweightingInstanceTransform - Class in edu.cmu.minorthird.classify.transform

ReweightingInstanceTransform(FeatureReweighter) - Constructor for class edu.cmu.minorthird.classify.transform.ReweightingInstanceTransform

right() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the span consisting of all tokens in the same document that follow the current span.

RIGHT - Static variable in class edu.cmu.minorthird.util.gui.ViewerControls

rnbinom(int, double, double) - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Genrates a vector of n doubles distributed according to a Negative-Binomial with parameters: mu = mu and delta = delta

rnorm(int, double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

rnorm(int, double, double) - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Genrates a vector of n doubles distributed according to a Gaussian with: mean = mu and standard deviation = sd

ROMMALearner - Class in edu.cmu.minorthird.classify.algorithms.linear

Created on Sep 27, 2005

ROMMALearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

ROMMALearner(boolean, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

runDependency(MonotonicTextLabels, String, String) - Static method in class edu.cmu.minorthird.text.Dependencies

Deprecated. This runs the given file or the default (from configFile) to generate the requested annotations in the given labels.

runif(int, double, double) - Static method in class edu.cmu.minorthird.classify.algorithms.random.ProbabilityFactory

runif(int, double, double) - Method in interface edu.cmu.minorthird.classify.algorithms.random.RWrapper

Genrates a vector of n doubles distributed according to a Uniform with range: min = min and max = max

RunMixup - Class in edu.cmu.minorthird.ui

Run a mixup program.

RunMixup() - Constructor for class edu.cmu.minorthird.ui.RunMixup

RWrapper - Interface in edu.cmu.minorthird.classify.algorithms.random

User: Edoardo M.

S

s - Variable in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor.EditedSpan

safeGet(String, String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

safeGet(String, String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

safePut(String, String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

safePut(String, String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

safeSetRequiredAnnotation(SpanFeatureExtractor, String) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

SampleClassificationProblem - Class in edu.cmu.minorthird.text.learn

Some sample inputs to facilitate testing.

SampleClassificationProblem() - Constructor for class edu.cmu.minorthird.text.learn.SampleClassificationProblem

sampleData(String, boolean) - Static method in class edu.cmu.minorthird.classify.SampleDatasets

SampleDatasets - Class in edu.cmu.minorthird.classify

Some sample inputs for learners.

SampleDatasets() - Constructor for class edu.cmu.minorthird.classify.SampleDatasets

SampleExtractionProblem - Class in edu.cmu.minorthird.text.learn

Some sample inputs to facilitate testing.

SampleExtractionProblem() - Constructor for class edu.cmu.minorthird.text.learn.SampleExtractionProblem

SampleFE - Class in edu.cmu.minorthird.text.learn

Some sample feature extractors.

SampleFE() - Constructor for class edu.cmu.minorthird.text.learn.SampleFE

SampleFE.AnnotatedSpanFE - Class in edu.cmu.minorthird.text.learn

A feature extractor that pre-loads a mixup file or some other type of annotation.

SampleFE.AnnotatedSpanFE() - Constructor for class edu.cmu.minorthird.text.learn.SampleFE.AnnotatedSpanFE

SampleFE.BagOfLowerCaseWordsFE - Class in edu.cmu.minorthird.text.learn

SampleFE.BagOfLowerCaseWordsFE() - Constructor for class edu.cmu.minorthird.text.learn.SampleFE.BagOfLowerCaseWordsFE

SampleFE.BagOfWordsFE - Class in edu.cmu.minorthird.text.learn

SampleFE.BagOfWordsFE() - Constructor for class edu.cmu.minorthird.text.learn.SampleFE.BagOfWordsFE

SampleFE.ExtractionFE - Class in edu.cmu.minorthird.text.learn

An extraction-oriented feature extractor to apply to one-token spans, for extraction tasks.

SampleFE.ExtractionFE() - Constructor for class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

SampleFE.ExtractionFE(int) - Constructor for class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

SampleTextBases - Class in edu.cmu.minorthird.text

Some sample inputs to facilitate testing.

SampleTextBases() - Constructor for class edu.cmu.minorthird.text.SampleTextBases

save(Dataset, File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Save a dataset to a file.

save(File) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

save(PrintStream) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

save(File) - Method in class edu.cmu.minorthird.text.model.UnigramModel

Save a unigram model

save - Variable in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

save - Variable in class edu.cmu.minorthird.ui.TrainTestClassifier

save - Variable in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

Saveable - Interface in edu.cmu.minorthird.util

Interface for classes that can be saved to disk in one or more class-specific, human-readable format.

saveAnn(File, String) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.BasicDataset

saveAs - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

saveAs(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

saveAs(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

saveAs(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

saveAs(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

saveAs(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingExpt.MyCLP

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

saveAs(File, String) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

saveAs(File, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

saveAs(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher.MyCLP

saveAs(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

saveAs - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

saveAs(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

saveAs(File, String) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

saveAs(File, String) - Method in interface edu.cmu.minorthird.util.Saveable

Save this object to the given file, in the given format.

saveAsFile - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

saveAsFilename - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

saveButton - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

saveDocsWithEmbeddedTypes(TextLabels, File) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Save documents to specified directory with extracted types embedded as xml.

saveHelp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

saveRegression(Dataset, File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Save a dataset that can be used for regression

saveSequence(SequenceDataset, File) - Static method in class edu.cmu.minorthird.classify.DatasetLoader

Save a SequenceDataset to a file Each Example in a sequence is saved on a seperate line.

saveSerialized(MutableTextLabels, File) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Serialize a TextLabels.

saveSerialized(Serializable, File) - Static method in class edu.cmu.minorthird.util.IOUtil

saveSomehow(Object, File) - Static method in class edu.cmu.minorthird.util.IOUtil

saveSomehow(Object, File, boolean) - Static method in class edu.cmu.minorthird.util.IOUtil

saveTypesAsOps(TextLabels, File) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Save extracted data in a format readable with loadOps.

saveTypesAsStrings(TextLabels, File, boolean) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Save spans of given type into the file, one per line.

saveTypesAsXML(TextLabels) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Save extracted data in an XML format

schema() - Method in class edu.cmu.minorthird.classify.ClassifierTeacher

The set of classes that will be used.

schema() - Method in class edu.cmu.minorthird.classify.DatasetClassifierTeacher

schema() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

The set of classes that will be used.

schema() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetClassifierTeacher

schema - Variable in class edu.cmu.minorthird.classify.OneVsAllLearner

schema() - Method in class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

score(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Inner product of hyperplane and instance weights.

score(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

score(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Inner product of PoissonClassifier and instance weights.

score(Instance) - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

score(Instance) - Method in class edu.cmu.minorthird.classify.BinaryClassifier

Get the weight for an instance being in the positive class.

score(Instance, String) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

score(Instance) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

score(int) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

score(Instance) - Method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

Finds the maximum positive axis weigth of hyperplane and calculates minFeatScore based on percentage this value this was never tested!

score(Instance, double) - Method in class edu.cmu.minorthird.classify.transform.PositiveScoresTransformClassifier

Inner product of hyperplane and instance weights, disregarding the negative dimensions of hyperplane.

score(Instance) - Method in class edu.cmu.minorthird.classify.TweakedLearner.TweakedClassifier

score(String) - Method in class edu.cmu.minorthird.text.learn.BinaryTextClassifier

Returns the weight for a String being in the positive class

score(String) - Method in interface edu.cmu.minorthird.text.learn.TextClassifier

Returns the weight for a String being in the positive class

score(Span) - Method in class edu.cmu.minorthird.text.model.UnigramModel

Return log Prob(span|model).

SCRIPTDIR_PROP - Static variable in class edu.cmu.minorthird.text.FancyLoader

Property defining location of scripts for loading data

SegmentAnnotatorLearner - Class in edu.cmu.minorthird.text.learn

Learn an annotation model using a SegmentDataset dataset and a BatchSequenceClassifierLearner.

SegmentAnnotatorLearner() - Constructor for class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

SegmentAnnotatorLearner(BatchSegmenterLearner, SpanFeatureExtractor) - Constructor for class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

SegmentAnnotatorLearner(BatchSegmenterLearner, SpanFeatureExtractor, int) - Constructor for class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

SegmentAnnotatorLearner.SegmentAnnotator - Class in edu.cmu.minorthird.text.learn

SegmentAnnotatorLearner.SegmentAnnotator(Segmenter, SpanFeatureExtractor, int, String) - Constructor for class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner.SegmentAnnotator

Segmentation - Class in edu.cmu.minorthird.classify.sequential

Segmentation(ExampleSchema) - Constructor for class edu.cmu.minorthird.classify.sequential.Segmentation

segmentation(CandidateSegmentGroup) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner.ViterbiSegmenter

segmentation(CandidateSegmentGroup) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCRFLearner

Return a predicted type for each element of the sequence.

segmentation(CandidateSegmentGroup) - Method in interface edu.cmu.minorthird.classify.sequential.Segmenter

Return a predicted type for each element of the sequence.

Segmentation.Segment - Class in edu.cmu.minorthird.classify.sequential

Segmentation.Segment(int, int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.Segmentation.Segment

SegmentCollinsPerceptronLearner - Class in edu.cmu.minorthird.classify.sequential

SegmentCollinsPerceptronLearner(int) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

SegmentCollinsPerceptronLearner(int, boolean) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

SegmentCollinsPerceptronLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

SegmentCollinsPerceptronLearner.ViterbiSearcher - Class in edu.cmu.minorthird.classify.sequential

SegmentCollinsPerceptronLearner.ViterbiSearcher(Classifier, ExampleSchema, int) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner.ViterbiSearcher

SegmentCollinsPerceptronLearner.ViterbiSegmenter - Class in edu.cmu.minorthird.classify.sequential

SegmentCollinsPerceptronLearner.ViterbiSegmenter(Classifier, ExampleSchema, int) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner.ViterbiSegmenter

SegmentCRFLearner - Class in edu.cmu.minorthird.classify.sequential

Sequential learner based on the CRF algorithm.

SegmentCRFLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCRFLearner

SegmentCRFLearner(String) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCRFLearner

SegmentCRFLearner.SemiMTFeatureGenImpl - Class in edu.cmu.minorthird.classify.sequential

SegmentCRFLearner.SemiMTFeatureGenImpl(int, String[], Properties) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentCRFLearner.SemiMTFeatureGenImpl

SegmentDataset - Class in edu.cmu.minorthird.classify.sequential

A SequenceDataset that additionally includes examples for 'sliding windows' over the original data.

SegmentDataset() - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentDataset

Segmenter - Interface in edu.cmu.minorthird.classify.sequential

SegmentGenericCollinsLearner - Class in edu.cmu.minorthird.classify.sequential

Semi-markov version of GenericCollinsLearner.

SegmentGenericCollinsLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

SegmentGenericCollinsLearner(OnlineClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

SegmentGenericCollinsLearner(int) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

SegmentGenericCollinsLearner(OnlineClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

SegmentGenericCollinsLearner(OnlineClassifierLearner, int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

SemiSupervisedActions - Interface in edu.cmu.minorthird.classify.semisupervised

A set of semisupervised examples available for semi-supervised learning.

SemiSupervisedBatchClassifierLearner - Class in edu.cmu.minorthird.classify.semisupervised

Abstract ClassifierLearner which instantiates the teacher-learner protocol so as to implement a standard batch learner.

SemiSupervisedBatchClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

SemiSupervisedClassifier - Interface in edu.cmu.minorthird.classify.semisupervised

Interface for a semi-supervised classifier.

SemiSupervisedClassifierLearner - Interface in edu.cmu.minorthird.classify.semisupervised

Interface for something that learns sequence classifiers.

SemiSupervisedClassifierTeacher - Interface in edu.cmu.minorthird.classify.semisupervised

Interface for something that trains semi-supervised classifiers.

SemiSupervisedDataset - Class in edu.cmu.minorthird.classify.semisupervised

SemiSupervisedDataset() - Constructor for class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

SemiSupervisedDataset.SimpleDatasetViewer - Class in edu.cmu.minorthird.classify.semisupervised

SemiSupervisedDataset.SimpleDatasetViewer() - Constructor for class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset.SimpleDatasetViewer

SemiSupervisedNaiveBayesLearner - Class in edu.cmu.minorthird.classify.semisupervised

Implementation of the methods described in: K.

SemiSupervisedNaiveBayesLearner() - Constructor for class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

SemiSupervisedNaiveBayesLearner(int) - Constructor for class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

sendSignal(int, Object) - Method in class edu.cmu.minorthird.util.gui.Viewer

Send a signal.

separateDatasets() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

seqData - Variable in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

seqLearner - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.SequentialLearner

seqLearner - Variable in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

seqLnr - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

seqLnr - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

SequenceAnnotatorExpt - Class in edu.cmu.minorthird.text.learn.experiments

Run an annotation-learning experiment based on pre-labeled text , using a sequence learning method, and showing the result of evaluation of the sequence-classification level.

SequenceAnnotatorExpt(TextLabels, Splitter<Example[]>, SequenceClassifierLearner, String) - Constructor for class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

SequenceAnnotatorExpt(TextLabels, Splitter<Example[]>, SequenceClassifierLearner, String, String) - Constructor for class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

SequenceAnnotatorLearner - Class in edu.cmu.minorthird.text.learn

Learn an annotation model using a sequence dataset and a BatchSequenceClassifierLearner.

SequenceAnnotatorLearner() - Constructor for class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

SequenceAnnotatorLearner(BatchSequenceClassifierLearner, SpanFeatureExtractor) - Constructor for class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

SequenceAnnotatorLearner(BatchSequenceClassifierLearner, SpanFeatureExtractor, Extraction2TaggingReduction) - Constructor for class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

SequenceAnnotatorLearner.SequenceAnnotator - Class in edu.cmu.minorthird.text.learn

SequenceAnnotatorLearner.SequenceAnnotator(SequenceClassifier, SpanFeatureExtractor, String) - Constructor for class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

SequenceAnnotatorLearner.SequenceAnnotator(SequenceClassifier, SpanFeatureExtractor, Extraction2TaggingReduction, String) - Constructor for class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

SequenceClassifier - Interface in edu.cmu.minorthird.classify.sequential

Interface for a sequence classifier.

SequenceClassifierLearner - Interface in edu.cmu.minorthird.classify.sequential

Interface for something that learns sequence classifiers.

SequenceClassifierTeacher - Interface in edu.cmu.minorthird.classify.sequential

Interface for something that trains sequence classifiers.

SequenceConstants - Interface in edu.cmu.minorthird.classify.sequential

SequenceDataset - Class in edu.cmu.minorthird.classify.sequential

A dataset of sequences of examples.

SequenceDataset() - Constructor for class edu.cmu.minorthird.classify.sequential.SequenceDataset

sequenceIterator() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Return an iterator over all sequences.

sequenceList - Variable in class edu.cmu.minorthird.classify.sequential.SequenceDataset

sequenceSplitter - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

SequenceUtils - Class in edu.cmu.minorthird.classify.sequential

SequenceUtils() - Constructor for class edu.cmu.minorthird.classify.sequential.SequenceUtils

SequenceUtils.MultiClassClassifier - Class in edu.cmu.minorthird.classify.sequential

Wraps the OneVsAllClassifier, and provides a more convenient constructor.

SequenceUtils.MultiClassClassifier(ExampleSchema, ClassifierLearner[]) - Constructor for class edu.cmu.minorthird.classify.sequential.SequenceUtils.MultiClassClassifier

SequenceUtils.MultiClassClassifier(ExampleSchema, Classifier[]) - Constructor for class edu.cmu.minorthird.classify.sequential.SequenceUtils.MultiClassClassifier

serialVersionUID - Static variable in class edu.cmu.minorthird.classify.Feature

set - Variable in class edu.cmu.minorthird.text.learn.SpanFE.SetResult

SET_CONTENT - Static variable in class edu.cmu.minorthird.util.gui.Viewer

set_LabeledDataParameters(CommandLineUtil.OnlineBaseParams) - Method in class edu.cmu.minorthird.ui.OnlineLearner

setAdditionalParameters(CommandLineUtil.TrainClassifierParams) - Method in class edu.cmu.minorthird.ui.OnlineLearner

setAdditionalParameters(CommandLineUtil.TestClassifierParams) - Method in class edu.cmu.minorthird.ui.TestClassifier

setAdditionalParameters(CommandLineUtil.TestExtractorParams) - Method in class edu.cmu.minorthird.ui.TestExtractor

setAdditionalParameters(CommandLineUtil.TestClassifierParams) - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

setAdditionalParameters(CommandLineUtil.TrainClassifierParams) - Method in class edu.cmu.minorthird.ui.TrainClassifier

setAdditionalParameters(CommandLineUtil.TrainExtractorParams) - Method in class edu.cmu.minorthird.ui.TrainExtractor

setAdditionalParameters(CommandLineUtil.TrainClassifierParams) - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

setAggregators(Map<String, Set<String>>) - Static method in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

setALPHA(double) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set ALPHA to the desired level

setALPHA(double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set ALPHA to the desired level

setAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Adds the specified type to the list of annotation types that this labels set has been annotated to contain.

setAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.EmptyLabels

setAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

setAnnotatedBy(String) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Record that this TextLabels was annotated with some type of annotation.

setAnnotatedBy(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

setAnnotationProvider(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Specify a mixup file or java class to use to provide the annotation.

setAnnotationType(String) - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

The spanType of the annotation produced by the learned annotator.

setAnnotationType(String) - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Set the label used for annotations produced by the learner.

setAnnotationType(String) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setAnnotationType(String) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Specify the type of annotation produced by this annotator - that is, the type associated with spans produced by it.

setAnnotatorLoader(AnnotatorLoader) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Sets the loader used to locate annotators.

setAnnotatorLoader(AnnotatorLoader) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

setAnnotatorLoader(AnnotatorLoader) - Method in interface edu.cmu.minorthird.text.learn.MixupCompatible

Attach an annotatorLoader to the SpanFeatureExtractor, which is used to find the required Annotation (and any other Annotations that that it might recursively require.)

setAnnotatorLoader(AnnotatorLoader) - Method in class edu.cmu.minorthird.text.learn.SpanFE

setAnnotatorLoader(AnnotatorLoader) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Specify the AnnotatorLoader used to find Annotations when a 'require' call is made.

setAnnotatorLoader(AnnotatorLoader) - Method in class edu.cmu.minorthird.text.NestedTextLabels

setAnnotatorOutputParams(CommandLineUtil.AnnotatorOutputParams) - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

setAnnotatorOutputParams(CommandLineUtil.AnnotatorOutputParams) - Method in class edu.cmu.minorthird.ui.RunMixup

setAnswer(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Accept the answer to the last query.

setAnswer(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Accept the answer to the last query.

setAnswer(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setAnswer(AnnotationExample) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Accept the answer to the last query.

setBaseLearner(BatchClassifierLearner) - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

setBaseParameters(CommandLineUtil.BaseParams) - Method in class edu.cmu.minorthird.ui.UIMain

setBatchLoadFactor(double) - Method in class edu.cmu.minorthird.classify.OnlineVersion

setBeta(double) - Method in class edu.cmu.minorthird.classify.TweakedLearner

setBias(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

Set the bias term for the hyperplane to delta

setBootstrapLearner(OnlineClassifierLearner) - Method in class edu.cmu.minorthird.classify.OnlineVersion

setCacheSize(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setCandidateType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

setCharOffset(int) - Method in class edu.cmu.minorthird.text.BasicSpan

setCharOffset(int) - Method in interface edu.cmu.minorthird.text.Span

setClassifierFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

setClassifierLearner(ClassifierLearner) - Method in class edu.cmu.minorthird.classify.BinaryClassifier

setClassifierLearner(BatchClassifierLearner) - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

setClassParameter(int, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setClassParameter(int, double) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

setClassParameter(int, double) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set probability of class j to d

setClosurePolicy(int) - Method in class edu.cmu.minorthird.text.TextLabelsLoader

Set the closure policy.

setCoef0(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setComponents(Viewer, ViewerControls) - Method in class edu.cmu.minorthird.util.gui.ControlledViewer

setCompressDataset(boolean) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

setContent(Object) - Method in class edu.cmu.minorthird.util.gui.Viewer

Change the object being displayed by this viewer.

setContent(Object, boolean) - Method in class edu.cmu.minorthird.util.gui.Viewer

Change the object being displayed by this viewer.

setContextWidth(int) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

Declare how much context to show on either size of the span.

setControlledViewer(Viewer) - Method in class edu.cmu.minorthird.util.gui.ViewerControls

Declare the viewer controlled by this ViewerControls object.

setCParameter(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setCParameterWeight(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setCross(boolean) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

setCross(boolean) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

setCross(boolean) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

setCross(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

setCrossValSplits(int) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

setCrossValSplits(int) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setDataCompression(boolean) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

setDatasetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

setDatasetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

setDatasetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

setDatasetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

setDatasetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

setDatasetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

setDefaultDir(String) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

setDegree(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setDevData(Dataset) - Method in class edu.cmu.minorthird.classify.ranking.ListNet

setDFraction(double) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

setDisplayDatasetBeforeLearning(boolean) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

setDisplayDatasetBeforeLearning(boolean) - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

setDocumentGroupId(String, String) - Method in class edu.cmu.minorthird.text.BasicTextBase

Sets the document group id for the specified documentId to the specified document group id.

setDocumentGroupId(String, String) - Method in class edu.cmu.minorthird.text.MutableTextBase

Sets the group that a document belongs to

setDocumentPool(Iterator<Span>) - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

Accept the pool of unlabeled documents.

setDocumentPool(Iterator<Span>) - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Accept a pool of documents.

setDocumentPool(Iterator<Span>) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setDocumentPool(Iterator<Span>) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

Accept the pool of unlabeled documents.

setDocumentStyle(int) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Sets the document style for loaded documents.

setDoProbabilityEstimates(boolean) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

Tell the learner to train a classifier capable of computing probability estimates for each class.

setEditFilename(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

setEditParameters(CommandLineUtil.EditParams) - Method in class edu.cmu.minorthird.ui.DebugMixup

setEditParameters(CommandLineUtil.EditParams) - Method in class edu.cmu.minorthird.ui.EditLabels

setEmbeddedAnnotators(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

setEmbeddedAnnotators(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

setEpochs(int) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setExtractedType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

setFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

setFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

setFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

setFeatureGivenClassParameter(Feature, int, Estimate) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setFeatureGivenClassParameter(Feature, int, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setFeatureGivenClassParameter(Feature, int, double) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

setFeatureGivenClassParameter(Feature, int, Estimate) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

setFeatureModel(Feature, String) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setFeatureModel(Feature, String) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

setFeaturePdf(Feature, String) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set the PDF for feature f

setFeaturePdf(Feature, String) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set the PDF for feature f

setFeatureStoragePolicy(int) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Set the policy for creating features.

setFeatureWindowSize(int) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

Specify the number of tokens on before and after the span to emit features for.

setFeatureWindowSize(int) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

Window size for features.

setFile(File) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

setFileSelectionMode(int) - Method in class edu.cmu.minorthird.ui.FileChooserViewer

setFlag(boolean) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

setFoldCase(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.DocumentFE

If foldCase is true, then words will be converted to lower case before being used as features.

setFutureSize(int) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setGamma(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setGraphicContext(JProgressBar[]) - Static method in class edu.cmu.minorthird.util.ProgressCounter

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.CMMLearner

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Set the current history length.

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

setHistorySize(int) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setHistorySize(int) - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

setHorizontal() - Method in class edu.cmu.minorthird.util.gui.SplitViewer

setInner(TypeSelector.AbstractSample) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleOuter

setInnerLearner(OnlineClassifierLearner) - Method in class edu.cmu.minorthird.classify.BatchVersion

setInnerLearner(ClassifierLearner) - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

setInnerLearner(BatchClassifierLearner) - Method in class edu.cmu.minorthird.classify.OnlineVersion

setInnerLearner(OnlineClassifierLearner) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

setInnerLearner(OnlineBinaryClassifierLearner) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

setInnerLearner(OnlineClassifierLearner) - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

setInnerLearner(BatchClassifierLearner) - Method in class edu.cmu.minorthird.classify.StackedLearner

setInnerLearner(BinaryClassifierLearner) - Method in class edu.cmu.minorthird.classify.TweakedLearner

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.BatchClassifierLearner

setInstancePool(Iterator<Instance>) - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Accept a set of unlabeled instances.

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.OnlineClassifierLearner

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

subclasses should use this method to get the unlabeled examples available for semi-supervised learning.

setInstancePool(Iterator<Instance>) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

setK(int) - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

setKernel(int) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

set degree of poly kernel K(x,y) = (coef0+ gamma*)^d if set to 0, usual crossproduct is used.

setKernelType(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setLabelFile(boolean) - Method in class edu.cmu.minorthird.text.SimpleTextLoader

setLabels(TextLabels) - Method in class edu.cmu.minorthird.text.learn.FreqAnal

setLabelsFilename(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

setLabelsFilename(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

setLabelsFilename(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

setLabelsInFile(boolean) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Sets whether the loader should use or ignore XML markup in the files.

setLearner(ClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.ClassifierLearner

setLearner(OnlineBinaryClassifierLearner) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setLearner(ClassifierLearner) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

setLearner(AnnotatorLearner) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

setLearner(SequenceClassifierLearner) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

setLearnerInSequentialMode(SequenceClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.Learner.SequentialLearner

setLearnerParameters(ClassifyCommandLineUtil.Learner.ClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

setLearnerParameters(ClassifyCommandLineUtil.Learner.ClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

setLearnerParameters(ClassifyCommandLineUtil.Learner.SequentialLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainParams

setLearnerParameters(ClassifyCommandLineUtil.Learner.SequentialLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

setLearnerParameters(ClassifyCommandLineUtil.Learner.ClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainParams

setLearnerParameters(ClassifyCommandLineUtil.Learner.ClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

setLearnRate() - Method in class edu.cmu.minorthird.classify.ranking.ListNet

setLength(int) - Method in class edu.cmu.minorthird.text.CharAnnotation

setLinkFile(String) - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

setLinksMap(Map<String, Map<String, Set<String>>>) - Static method in class edu.cmu.minorthird.classify.relational.CoreRelationalDataset

setLoadAnnotatorParameters(CommandLineUtil.LoadAnnotatorParams) - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

setLoadFrom(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

setLoadFrom(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

setLogSpace(boolean) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

setLogSpaceOption() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

setLossFunctionEpsilon(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setMAX_WORDS(int) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set MAX_WORDS to the desired number

setMAX_WORDS(int) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set MAX_WORDS to the desired number

setMaxBeamSize(int) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

setMaxDepth(int) - Method in class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

setMaxIters(int) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

setMaxRounds(int) - Method in class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

setMaxSegmentSize(int) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setMean(double) - Method in class edu.cmu.minorthird.classify.algorithms.random.Poisson

Sets the mean.

setMIN_WORDS(int) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set MIN_WORDS to the desired number

setMIN_WORDS(int) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set MIN_WORDS to the desired number

setMinBatchTrainingSize(int) - Method in class edu.cmu.minorthird.classify.OnlineVersion

setMinSplitCount(int) - Method in class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

setMixup(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

setMixup(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

setMixupParameters(CommandLineUtil.MixupParams) - Method in class edu.cmu.minorthird.ui.DebugMixup

setMixupParameters(CommandLineUtil.MixupParams) - Method in class edu.cmu.minorthird.ui.RunMixup

setMixupProgramFilename(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

setModeAveraged() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

setModeVoted() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

setMulti(int) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

setMulti(int) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainParams

setMulti(int) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

setMultiSchema(MultiExampleSchema) - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

setMultiSpanPropFile(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

setMyTokenPropertyList(TextLabels) - Method in class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

setName(String) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

setNandP(int, double) - Method in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

setNegDelta(Feature, double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set mu corresponding to the Positive examples of feature f

setNegMu(Feature, double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set mu corresponding to the Positive examples of feature f

setNu(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.BatchVersion

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.sequential.HMMLearner

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

setNumberOfEpochs(int) - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

setNumberOfFeatures(int) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

Number of features with the highest scores to keep in the dataset

setNumberOfFeatures(int) - Method in class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

Number of features with the highest Info-Gain scores to keep in the dataset

setNumberOfFeatures(int) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedInstanceTransform

Number of features with the highest Info-Gain scores to keep in the dataset

setNumberOfFolds(int) - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

setNumberOfFolds(int) - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

setOffset(int) - Method in class edu.cmu.minorthird.text.CharAnnotation

setOutput(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

setOutput(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

setOutput(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

setOutputFormat(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

setParameterC(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setParameterGamma(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

The default for Gamma is 0, which works for a linear kernel, but not for other types of kernels

setParameterKernelType(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

Default kernel type is linear

setParameterSVMType(int) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setPDF(String) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set PDF to the desired value

setPDF(String) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Set PDF to the desired value

setPmsNeg(Feature, SortedMap<String, Double>) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Store parameters for f|negative

setPmsPos(Feature, SortedMap<String, Double>) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Store parameters for f|positive

setPolyKernelParams(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

set params of poly kernel K(x,y) = (coef0+ gamma*)^d

setPosDelta(Feature, double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set mu corresponding to the Positive examples of feature f

setPosMu(Feature, double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set mu corresponding to the Positive examples of feature f

setPrior(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setPrior(double) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

setPriorNeg(double, double, double, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Set the prior for negative documents

setPriorPos(double, double, double, double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Set the prior for positive documents

setProgram(MixupProgram) - Method in class edu.cmu.minorthird.text.mixup.MixupInterpreter

Sets the MixupProgram that this interpreter will execute when the eval method is called.

setProperty(String, String) - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

setProperty(Token, String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Assert that Token textToken has the given value of the given property

setProperty(Token, String, String, Details) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Assert that Token textToken has the given value of the given property, and associate that with some detailed information

setProperty(Span, String, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Assert that Span span has the given value of the given property

setProperty(Span, String, String, Details) - Method in class edu.cmu.minorthird.text.BasicTextLabels

setProperty(Span, String, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

setProperty(Token, String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

setProperty(Token, String, String, Details) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

setProperty(Span, String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

setProperty(Span, String, String, Details) - Method in class edu.cmu.minorthird.text.learn.experiments.MonotonicSubTextLabels

setProperty(Span, String, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

Assert that Span span has the given value of the given property

setProperty(Token, String, String) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Assert that TextToken textToken has the given value of the given property.

setProperty(Token, String, String, Details) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Assert that a token has a given property value, and associate that with some detailed information.

setProperty(Span, String, String) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Assert that Span span has the given value of the given property

setProperty(Span, String, String, Details) - Method in interface edu.cmu.minorthird.text.MonotonicTextLabels

Assert that Span span has the given value of the given property, and associate that with some detailed information

setProperty(Token, String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

setProperty(Token, String, String, Details) - Method in class edu.cmu.minorthird.text.NestedTextLabels

setProperty(Span, String, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

setProperty(Span, String, String, Details) - Method in class edu.cmu.minorthird.text.NestedTextLabels

setReadOnly(boolean) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

Set mode to read-only or not.

setReadOnly(boolean) - Method in class edu.cmu.minorthird.text.gui.SpanEditor

Set mode to read-only or not.

setRecurseDirectories(boolean) - Method in class edu.cmu.minorthird.text.TextBaseLoader

Sets whether the loader should recurse directories when loading docs.

setReduction(Extraction2TaggingReduction) - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

setREF_LENGTH(double) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set REF_LENGTH to the desired value

setREF_LENGTH(double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Set REF_LENGTH to the desired value

setRepositoryKey(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

setRepositoryKey(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

setRequiredAnnotation(String) - Method in interface edu.cmu.minorthird.text.learn.MixupCompatible

A correct implementation of a MixupCompatible SpanFeatureExtractor will call textLabels.require(annotation,null,loader) before extracting features relative to textLabels.

setRequiredAnnotation(String, String) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Simultaneously specify an annotator to run before feature generation and a mixup file or class that generates it.

setRequiredAnnotation(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Specify an annotator to run before feature generation.

setRequiredAnnotation(String, String) - Method in class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

tokenProperties depends on the requiredAnnotation, so override default setRequiredAnnotation() method to reset the tokenPropertyFeatures to null when this changes.

setSAMPLE(int) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Set SAMPLE SIZE to the desired level

setSAMPLE(int) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set SAMPLE SIZE to the desired level

setSaveAs(File) - Method in class edu.cmu.minorthird.text.gui.TextBaseEditorPlusLabeler

add a 'save' button

setSaveAs(File) - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

add a 'save' button

setSaveAs(File) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

Activates the 'save' button, and indicates where to save.

setSaveAs(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

setSaveAsFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.ApplyAnnotator

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.RunMixup

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TestClassifier

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TestExtractor

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainClassifier

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainExtractor

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

setSaveParameters(CommandLineUtil.SaveParams) - Method in class edu.cmu.minorthird.ui.TrainTestTagger

setScale(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setScale(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

Set the scale term for the NB classifier to value

setScale(double) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.algorithms.active.QueryByCommittee

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.BatchVersion

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.CascadingBinaryLearner

setSchema(ExampleSchema) - Method in interface edu.cmu.minorthird.classify.ClassifierLearner

Accept an ExampleSchema - constraints on what the Examples will be.

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.multi.MultiLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.OneVsAllLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.OnlineVersion

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

Enables control on number of classes allowed to be passed to the learner

setSchema(ExampleSchema) - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedClassifierLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

setSchema(ExampleSchema) - Method in interface edu.cmu.minorthird.classify.sequential.BatchSegmenterLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.CMMLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.DictVersion

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.HMMLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.LeaveOneOutDictVersion

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.SegmentGenericCollinsLearner

setSchema(ExampleSchema) - Method in interface edu.cmu.minorthird.classify.sequential.SequenceClassifierLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.StackedLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareTransformLearner

only accepts binary schemas

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

ExampleSchema not used here ...

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.FrequencyBasedTransformLearner

The schema's not used here...

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner

Accept an ExampleSchema - constraints on what the Examples will be.

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.InfoGainTransformLearner2

The schema's not used here...

setSchema(ExampleSchema) - Method in interface edu.cmu.minorthird.classify.transform.InstanceTransformLearner

Accept an ExampleSchema - constraints on what the Examples will be.

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.MakeBinaryTransform

The schema's not used here...

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedTransformLearner

Accept an ExampleSchema - constraints on what the Examples will be.

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Accept an ExampleSchema - constraints on what the Examples will be.

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.TFIDFTransformLearner

The schema's not used here...

setSchema(ExampleSchema) - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

setSelected(Object) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.PropertyEditor.Selection

setSemiMarkovLearner(BatchSegmenterLearner) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

setSequenceClassifierLearner(BatchSequenceClassifierLearner) - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner

setShowClassifier(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

setShowData(boolean) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

setShowData(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

setShowData(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

setShowData(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

setShowExtractor(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestExtractorParams

setShowTestDetails(boolean) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

setShowTestDetails(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

setShowTestDetails(boolean) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

setSignalParameters(CommandLineUtil.OnlineSignalParams) - Method in class edu.cmu.minorthird.ui.OnlineLearner

setSignalParameters(CommandLineUtil.ClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

setSignalParameters(CommandLineUtil.ClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.TestClassifier

setSignalParameters(CommandLineUtil.ExtractionSignalParams) - Method in class edu.cmu.minorthird.ui.TestExtractor

setSignalParameters(CommandLineUtil.MultiClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.TestMultiClassifier

setSignalParameters(CommandLineUtil.ClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.TrainClassifier

setSignalParameters(CommandLineUtil.ExtractionSignalParams) - Method in class edu.cmu.minorthird.ui.TrainExtractor

setSignalParameters(CommandLineUtil.MultiClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.TrainMultiClassifier

setSignalParameters(CommandLineUtil.ClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

setSignalParameters(CommandLineUtil.ExtractionSignalParams) - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

setSignalParameters(CommandLineUtil.MultiClassificationSignalParams) - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

setSignalParameters(CommandLineUtil.TaggerSignalParams) - Method in class edu.cmu.minorthird.ui.TrainTestTagger

setSpanFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

setSpanFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.text.learn.AnnotatorLearner

Set the feature extractor used by this annotator.

setSpanFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMLearner

setSpanFeatureExtractor(SpanFeatureExtractor) - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner

setSpanProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

setSpanProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

setSpanType(String) - Method in class edu.cmu.minorthird.text.learn.FreqAnal

setSpanType(String) - Method in class edu.cmu.minorthird.text.learn.NameMatcher

setSpanType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

setSpanType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

setSpanType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

setSpeedUp() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

Set speed-up: use only last 300 support vectors in testing

setSplitter(Splitter<MultiExample>) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

setSplitter(Splitter<Example[]>) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

setSplitter(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

setSplitter(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

setSplitter(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.StackedLearner

setSplitter(Splitter) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

setSplitterParameters(CommandLineUtil.SplitterParams) - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

setSplitterParameters(CommandLineUtil.SplitterParams) - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

setSplitterParameters(CommandLineUtil.SplitterParams) - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

setSplitterParameters(CommandLineUtil.SplitterParams) - Method in class edu.cmu.minorthird.ui.TrainTestTagger

setStackingDepth(int) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

setStackingDepth(int) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setState(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.random.Gamma

Sets the mean and variance.

setState(double, double) - Method in class edu.cmu.minorthird.classify.algorithms.random.Normal

Sets the mean and variance.

setStoppingCriteria(double) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setSubsampleFraction(double) - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

setSubsequence(int, int, Instance, ClassLabel) - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

Specify the Instance associated with positions start...end, and associate the label with that Instance.

setSubsequence(int, int, Instance) - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

Specify the Instance associated with positions start...end.

setSubView(Viewer) - Method in class edu.cmu.minorthird.util.gui.MessageViewer

setSubView(Viewer) - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

setSubViews(Viewer, Viewer) - Method in class edu.cmu.minorthird.util.gui.SplitViewer

setSubViews(Viewer, Viewer) - Method in class edu.cmu.minorthird.util.gui.ZoomedViewer

setSuperView(Viewer) - Method in class edu.cmu.minorthird.util.gui.Viewer

Declare this viewer to be the only subview of superView.

setSuperView(Viewer, String) - Method in class edu.cmu.minorthird.util.gui.Viewer

Declare this viewer to be a subview of superView.

setT1(Feature, double) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Set the value of T1 corresponding to feature f

setTaggingReduction(Extraction2TaggingReduction) - Method in class edu.cmu.minorthird.text.learn.AbstractBatchAnnotatorLearner

setTestFilename(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

setTestKey(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

setTestParameters(ClassifyCommandLineUtil.TestParams) - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask

setTestsetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

setTestsetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

setTestsetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTestParams

setTestsetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

setTestsetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTestParams

setTestsetFilename(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

setTextBase(TextBase) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Sets the TextBase associated with this labels set.

setTextBase(TextBase) - Method in interface edu.cmu.minorthird.text.MutableTextLabels

Initialize the textbase which is annotated by this TextLabels.

setTextLearnerParameters(CommandLineUtil.TestClassifierParams) - Method in class edu.cmu.minorthird.ui.OnlineLearner

setThreshold(double) - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

setTokenProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

setTokenPropertyFeatures(String) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

Specify the token properties from the TextLabels environment that will be used as features.

setTokenPropertyFeatures(Set<String>) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

setTokenPropertyFeatures(String) - Method in class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

Specify the token properties from the TextLabels environment that will be used as features.

setTokenPropertyFeatures(Set) - Method in class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

Specify the token properties from the TextLabels environment that will be used as features.

setTokens(TextToken[]) - Method in class edu.cmu.minorthird.text.Document

setTrainFraction(double) - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

setTrainingParameters(CommandLineUtil.TrainClassifierParams) - Method in class edu.cmu.minorthird.ui.TrainTestClassifier

setTrainingParameters(CommandLineUtil.TrainExtractorParams) - Method in class edu.cmu.minorthird.ui.TrainTestExtractor

setTrainingParameters(CommandLineUtil.TrainClassifierParams) - Method in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

setTrainingParameters(CommandLineUtil.TrainTaggerParams) - Method in class edu.cmu.minorthird.ui.TrainTestTagger

setTrainParams(ClassifyCommandLineUtil.TrainParams) - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask

setTrainTestParameters(ClassifyCommandLineUtil.TrainTestParams) - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

setTrainTestParameters(ClassifyCommandLineUtil.TrainTestParams) - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask

setTransformLearner(InstanceTransformLearner) - Method in class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

setTrueType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

setType(String) - Method in class edu.cmu.minorthird.text.CharAnnotation

setTypesBeingEdited(String, String) - Method in class edu.cmu.minorthird.text.gui.OnlineClassifierDocumentEditor

Declare which types are being edited.

setTypesBeingEdited(String, String) - Method in class edu.cmu.minorthird.text.gui.SpanEditor

Declare which types are being edited.

setUnseenModel(String) - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

setUnseenModel(String) - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

setUseCharType(boolean) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

If set to true, produce features like "token.charTypePattern.Aaaa" for the word "Bill"

setUseCharType(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

If produce features like "token.charTypePattern.Aaaa" for the word "Bill"

setUseCharType(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

If true, produce features like "token.charTypePattern.Aaaa" for the word "Bill"

setUseCharTypePattern(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

If true produce features like "token.charTypePattern.Aa+" for the word "Bill".

setUseCharTypePattern(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

If true, produce features like "token.charTypePattern.Aa+" for the word "Bill".

setUseCompressedCharType(boolean) - Method in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

If set to true, produce features like "token.charTypePattern.Aa+" for the word "Bill".

setUseConfidences(boolean) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

setUseConfidences(boolean) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setUseFirst(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

Generate features for the first token of the span.

setUseHighPrecisionArithmetic(boolean) - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

setUseInternal(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

Generate features for the span itself

setUseLast(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

Generate features for the last token of the span.

setUseLength(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.MultitokenSpanFE

Generate features for the length of the span.

setUseLogisticOnConfidences(boolean) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

setUseLogisticOnConfidences(boolean) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setUseShrinkingHeuristics(boolean) - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

setUseTargetPrediction(boolean) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

setUseTargetPrediction(boolean) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

setUseTokenValues(boolean) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE

If true, produce features like "token.lc.bill" for the word "Bill".

setVertical() - Method in class edu.cmu.minorthird.util.gui.SplitViewer

setViewEntireDocument(boolean) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

If set, the viewer will show the entire document a span is in.

setVoteMode(boolean) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

setWeight(double) - Method in class edu.cmu.minorthird.classify.Example

Change the weight of this example.

setX(int) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

setY(int) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleOuter

setZ(int) - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleInner

SGMExample - Class in edu.cmu.minorthird.classify

An instance designed for a relational dataset.

SGMExample(Instance, ClassLabel, String, double) - Constructor for class edu.cmu.minorthird.classify.SGMExample

SGMExample(Instance, ClassLabel, String) - Constructor for class edu.cmu.minorthird.classify.SGMExample

SGMFeatureFactory - Class in edu.cmu.minorthird.classify

For Stacked Graphical Learning.

SGMFeatureFactory() - Constructor for class edu.cmu.minorthird.classify.SGMFeatureFactory

SGML_MARKUP_PATTERN_PROP - Static variable in class edu.cmu.minorthird.text.FancyLoader

When to expect sgml markup

shadowProperty(String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

Effectively, remove the property from this TextLabels.

shallowCopy() - Method in class edu.cmu.minorthird.classify.BasicDataset

shallowCopy() - Method in interface edu.cmu.minorthird.classify.Dataset

Make a shallow copy of the dataset.

shallowCopy() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

shallowCopy() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

shallowCopy() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Make a shallow copy of the dataset.

shallowCopy() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Make a shallow copy of the dataset.

SHORT - Static variable in class edu.cmu.minorthird.text.StopWords

SHORT_FORM_PROP - Static variable in class edu.cmu.minorthird.text.ExtractAbbrev

This property links an expansion to its acronym

SHORT_FORM_TYPE - Static variable in class edu.cmu.minorthird.text.ExtractAbbrev

The type asserted for extracted acronyms

shortenedClassName(Class) - Method in class edu.cmu.minorthird.util.gui.TypeSelector

Returns the shortened version of the class name

shouldTerminate() - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

shouldTerminate() - Method in interface edu.cmu.minorthird.util.CommandLineProcessor

Specifies whether the commandline processing should terminate.

shouldTerminate() - Method in class edu.cmu.minorthird.util.JointCommandLineProcessor

showClassifier - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

showClassifier() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

showData - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

showData() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

showData() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

showData() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

showData() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

showData - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

showData() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

showData - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

showData() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

showData - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

showData() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

showExtractor - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TestExtractorParams

showExtractor() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestExtractorParams

showLabels(TextLabels) - Static method in class edu.cmu.minorthird.text.SampleTextBases

showLabels - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

showLabels() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

showLabels - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

showLabels() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

showResult - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

showResult() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

showResult() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

showResult() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

showResult() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

showResult - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

showResult() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

showResult - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

showResult() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

showTestDetails - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

showTestDetails() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams

showTestDetails() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

showTestDetails() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

showTestDetails() - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

showTestDetails - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

showTestDetails(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

showTestDetails - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

showTestDetails(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

showTokenProp(TextBase, String) - Method in class edu.cmu.minorthird.text.BasicTextLabels

Dump of all strings that have textTokenuence with the given property

showTokenProp(TextBase, String) - Method in class edu.cmu.minorthird.text.EmptyLabels

showTokenProp(TextBase, String) - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

showTokenProp(TextBase, String) - Method in class edu.cmu.minorthird.text.NestedTextLabels

showTokenProp(TextBase, String) - Method in interface edu.cmu.minorthird.text.TextLabels

For debugging.

shuffle(Random) - Method in class edu.cmu.minorthird.classify.BasicDataset

shuffle() - Method in class edu.cmu.minorthird.classify.BasicDataset

shuffle(Random) - Method in interface edu.cmu.minorthird.classify.Dataset

Randomly re-order the examples.

shuffle() - Method in interface edu.cmu.minorthird.classify.Dataset

Randomly re-order the examples.

shuffle(Random) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

shuffle() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

shuffle(Random) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

shuffle() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

shuffle(Random) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Randomly re-order the examples.

shuffle() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

Randomly re-order the examples.

shuffle(Random) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Randomly re-order the examples.

shuffle() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Randomly re-order the examples.

sign(double) - Static method in class edu.cmu.minorthird.util.MathUtil

Sign function.

signal - Variable in class edu.cmu.minorthird.ui.PreprocessTextForClassifier

signal - Variable in class edu.cmu.minorthird.ui.TrainTestClassifier

signal - Variable in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

SimpleClassifierUI - Class in edu.cmu.minorthird.ui

A simple UI for training and testing classifiers

SimpleClassifierUI() - Constructor for class edu.cmu.minorthird.ui.SimpleClassifierUI

SimpleRandomSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

Split into one train, one test partition.

SimpleRandomSplitter(Random, double) - Constructor for class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

SimpleRandomSplitter(double) - Constructor for class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

SimpleRandomSplitter() - Constructor for class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

SimpleTextLoader - Class in edu.cmu.minorthird.text

A no options loader.

SimpleTextLoader() - Constructor for class edu.cmu.minorthird.text.SimpleTextLoader

size() - Method in class edu.cmu.minorthird.classify.BasicDataset

size(Feature, String) - Method in class edu.cmu.minorthird.classify.BasicFeatureIndex

Number of examples with label l containing non-zero values for feature f.

size() - Method in interface edu.cmu.minorthird.classify.Dataset

Return the number of examples.

size(Feature) - Method in class edu.cmu.minorthird.classify.DatasetIndex

Number of examples containing non-zero values for feature f.

size(String) - Method in class edu.cmu.minorthird.classify.DatasetIndex

Number of examples with the given class label.

size() - Method in class edu.cmu.minorthird.classify.Feature

size(Feature) - Method in interface edu.cmu.minorthird.classify.FeatureIndex

Number of examples containing the current feature.

size() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

size(Feature) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Number of examples containing non-zero values for feature f.

size(String) - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

Number of examples with the given class label.

size() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

size() - Method in interface edu.cmu.minorthird.classify.sequential.CandidateSegmentGroup

Number of instances stored.

size() - Method in class edu.cmu.minorthird.classify.sequential.CompactCandidateSegmentGroup

size() - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

size() - Method in class edu.cmu.minorthird.classify.sequential.Segmentation

size() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

size() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

Return the number of examples.

size() - Method in class edu.cmu.minorthird.classify.WeightedSet

size() - Method in class edu.cmu.minorthird.text.AbstractTextBase

size() - Method in class edu.cmu.minorthird.text.BasicSpan

Returns the number of tokens in the span.

size() - Method in class edu.cmu.minorthird.text.BasicTextBase

Returns the number of documents currently in this TextBase.

size() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextBase

size() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Make length of the span a feature.

size() - Method in class edu.cmu.minorthird.text.MutableTextBase

size() - Method in interface edu.cmu.minorthird.text.Span

Number of TextToken's in the span.

size() - Method in interface edu.cmu.minorthird.text.TextBase

Returns the number of documents contained in this TextBase.

sizeUnlabeled() - Method in class edu.cmu.minorthird.classify.BasicDataset

sizeUnlabeled() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

sizeUnlabeled() - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedActions

Return the number of semisupervised examples.

sizeUnlabeled() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

SmartVanillaViewer - Class in edu.cmu.minorthird.util.gui

View an objects in one of two ways: its toString() representation, if it's not visible; or its toGUI() representation, if it is.

SmartVanillaViewer(Object) - Constructor for class edu.cmu.minorthird.util.gui.SmartVanillaViewer

SmartVanillaViewer() - Constructor for class edu.cmu.minorthird.util.gui.SmartVanillaViewer

sortByScore(BinaryClassifier, List<Example>) - Static method in class edu.cmu.minorthird.classify.ranking.BatchRankingLearner

Sort a List of Instances by score according to the classifier.

sortedClassNames - Variable in class edu.cmu.minorthird.classify.CascadingBinaryLearner

sortedClassNames - Variable in class edu.cmu.minorthird.classify.MostFrequentFirstLearner

source - Variable in class edu.cmu.minorthird.classify.AbstractInstance

Span - Interface in edu.cmu.minorthird.text

A series of of adjacent Token's from the same document.

SpanDifference - Class in edu.cmu.minorthird.text

Compares two sets of spans.

SpanDifference(SpanDifference[]) - Constructor for class edu.cmu.minorthird.text.SpanDifference

Create an aggregation of the results in several SpanDifference's.

SpanDifference(Iterator<Span>, Iterator<Span>) - Constructor for class edu.cmu.minorthird.text.SpanDifference

Create machinery to analyze the differences between the two sets of spans.

SpanDifference(Iterator<Span>, Iterator<Span>, Iterator<Span>) - Constructor for class edu.cmu.minorthird.text.SpanDifference

Create machinery to analyze the differences between the two sets of spans.

SpanDifference.Invoker - Class in edu.cmu.minorthird.text

SpanDifference.Invoker() - Constructor for class edu.cmu.minorthird.text.SpanDifference.Invoker

SpanDifference.Looper - Class in edu.cmu.minorthird.text

A Span.Looper which also passes out two additional types of information about each returned span s: if s is a FALSE_POS, FALSE_NEG, or TRUE_POS, relative to the original spans.

SpanDifference.Looper(Collection<SpanDifference.DiffedSpan>) - Constructor for class edu.cmu.minorthird.text.SpanDifference.Looper

SpanDifference.Looper(Iterator<SpanDifference.DiffedSpan>) - Constructor for class edu.cmu.minorthird.text.SpanDifference.Looper

SpanDocument - Class in edu.cmu.minorthird.text.gui

A StyledDocument that holds a single span.

SpanDocument() - Constructor for class edu.cmu.minorthird.text.gui.SpanDocument

SpanDocument(Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanDocument

SpanDocument(Span, int) - Constructor for class edu.cmu.minorthird.text.gui.SpanDocument

SpanEditor - Class in edu.cmu.minorthird.text.gui

Interactivly edit the subspans associated with a particular document span.

SpanEditor(TextLabels, MutableTextLabels, JList, SpanPainter, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.SpanEditor

spanF1() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

SpanFE - Class in edu.cmu.minorthird.text.learn

A Feature Extractor which converts a Span to an Instance.

SpanFE() - Constructor for class edu.cmu.minorthird.text.learn.SpanFE

Create a feature extractor

SpanFE.Filter - Class in edu.cmu.minorthird.text.learn

An abstract class that can be used to filter SpanSetResults.

SpanFE.Filter() - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.Filter

SpanFE.Function - Class in edu.cmu.minorthird.text.learn

An abstract class that can be used to change SpanSets

SpanFE.Function() - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.Function

SpanFE.Result - Class in edu.cmu.minorthird.text.learn

Encodes an intermediate result of the SpanFE process.

SpanFE.Result(String[], SpanFE) - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.Result

SpanFE.SetResult<T> - Class in edu.cmu.minorthird.text.learn

An intermediate result of a SpanFE process where the object being operated on is a Set of something.

SpanFE.SetResult(String[], SpanFE, SortedSet<T>) - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.SetResult

SpanFE.SpanResult - Class in edu.cmu.minorthird.text.learn

An intermediate result of an SpanFE process where a span is being processed.

SpanFE.SpanResult(String[], SpanFE, Span) - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

SpanFE.SpanSetResult - Class in edu.cmu.minorthird.text.learn

An intermediate result of a SpanFE process where the object being operated on is a set of spans.

SpanFE.SpanSetResult(String[], SpanFE, SortedSet<Span>) - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

SpanFE.StringBagResult - Class in edu.cmu.minorthird.text.learn

An intermediate result of a SpanFE process where the object being operated on is a set of strings.

SpanFE.StringBagResult(String[], SpanFE, Bag<String>) - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

SpanFE.TokenSetResult - Class in edu.cmu.minorthird.text.learn

An intermediate result of a SpanFE process where the object being operated on is a set of tokens.

SpanFE.TokenSetResult(String[], SpanFE, SortedSet<Token>) - Constructor for class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

SpanFeatureExtractor - Interface in edu.cmu.minorthird.text.learn

Converts a span to an instance.

SpanFinder - Interface in edu.cmu.minorthird.text

Finds subspans of document spans.

SpanLabeler - Class in edu.cmu.minorthird.text.gui

Interactivly edit document spans.

SpanLabeler(TextLabels, MutableTextLabels, JList, SpanPainter, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.SpanLabeler

spanPainter - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

spanPrecision() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

spanPrecision() - Method in class edu.cmu.minorthird.text.SpanDifference

Return the percentage of 'guess' spans that are also 'truth' spans, ignoring non-truth spans that are not inside closure spans.

spanProp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

spanProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

spanProp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

spanProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

spanPropString - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

spanPropString - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

spanRecall() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

spanRecall() - Method in class edu.cmu.minorthird.text.SpanDifference

Return the percentage of 'truth' spans that are also 'guess' spans

spanType(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher.MyCLP

spanType(String) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

spanType - Variable in class edu.cmu.minorthird.text.learn.OnlineBinaryTextClassifierLearner

spanType - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

spanType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

spanType - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

spanType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

spanType - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

spanType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

spanTypeHelp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

SpanTypeTokenizer - Class in edu.cmu.minorthird.text

This implementation of the Tokenizer interface is used for re-tokenizing documents based on a specified spantype.

SpanTypeTokenizer(String, TextLabels) - Constructor for class edu.cmu.minorthird.text.SpanTypeTokenizer

SpanViewer - Class in edu.cmu.minorthird.text.gui

View the contents of a span, using the util.gui.Viewer framework.

SpanViewer(TextLabels, Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer

SpanViewer.ControlledTextViewer - Class in edu.cmu.minorthird.text.gui

A text view of a span, plus controls

SpanViewer.ControlledTextViewer(Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.ControlledTextViewer

SpanViewer.IdViewer - Class in edu.cmu.minorthird.text.gui

View of the span's documentId and documentGroupId

SpanViewer.IdViewer(TextLabels, Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.IdViewer

SpanViewer.TextViewer - Class in edu.cmu.minorthird.text.gui

A text view of a span.

SpanViewer.TextViewer(Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

SpanViewer.TextViewer(Span, int) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

SpanViewer.TextViewer(TextLabels, Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

SpanViewer.TextViewer(TextLabels, Span, int) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.TextViewer

SpanViewer.TokenViewer - Class in edu.cmu.minorthird.text.gui

A tokenized view of a span.

SpanViewer.TokenViewer(TextLabels, Span) - Constructor for class edu.cmu.minorthird.text.gui.SpanViewer.TokenViewer

split(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.BasicDataset

split(Splitter<Example>) - Method in interface edu.cmu.minorthird.classify.Dataset

Partition the dataset as required by the splitter.

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.FixedTestSetSplitter

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.SimpleRandomSplitter

split(Iterator<Example>) - Method in class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

split(Iterator<T>) - Method in class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

split(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

split(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.relational.RealRelationalDataset

split(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

split(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

split(Splitter<Example>) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

split(Iterator<T>) - Method in interface edu.cmu.minorthird.classify.Splitter

Split the iterator into a number of train/test partitions.

splitCandidateSegmentGroup(Splitter<CandidateSegmentGroup>) - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

splitIntoRankings(Dataset) - Static method in class edu.cmu.minorthird.classify.ranking.BatchRankingLearner

Sort a dataset into 'rankings'.

splitIntoTokens(String) - Method in class edu.cmu.minorthird.text.CompoundTokenizer

splitIntoTokens(Document) - Method in class edu.cmu.minorthird.text.CompoundTokenizer

splitIntoTokens(String) - Method in class edu.cmu.minorthird.text.FilterTokenizer

Tokenize a string

splitIntoTokens(Document) - Method in class edu.cmu.minorthird.text.FilterTokenizer

Tokenize a document.

splitIntoTokens(String) - Method in class edu.cmu.minorthird.text.RegexTokenizer

Tokenize a string.

splitIntoTokens(Document) - Method in class edu.cmu.minorthird.text.RegexTokenizer

Tokenize a document.

splitIntoTokens(String) - Method in class edu.cmu.minorthird.text.SpanTypeTokenizer

Tokenize a string

splitIntoTokens(Document) - Method in class edu.cmu.minorthird.text.SpanTypeTokenizer

Tokenize a document.

splitIntoTokens(String) - Method in class edu.cmu.minorthird.text.SplitTokenizer

splitIntoTokens(Document) - Method in class edu.cmu.minorthird.text.SplitTokenizer

Tokenize a document

splitIntoTokens(String) - Method in interface edu.cmu.minorthird.text.Tokenizer

Tokenize a string.

splitIntoTokens(Document) - Method in interface edu.cmu.minorthird.text.Tokenizer

Tokenize a document.

splitPane - Variable in class edu.cmu.minorthird.util.gui.SplitViewer

splitSequence(Splitter<Example[]>) - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

splitter - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

splitter(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

splitter - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

splitter(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

splitter(String) - Method in class edu.cmu.minorthird.classify.ranking.RankingExpt.MyCLP

splitter - Variable in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

splitter - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

Splitter<T> - Interface in edu.cmu.minorthird.classify

Split iterators into train/test partitions.

splitter - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

splitter(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

SplitterOp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

SplitTokenizer - Class in edu.cmu.minorthird.text

SplitTokenizer(String) - Constructor for class edu.cmu.minorthird.text.SplitTokenizer

SplitViewer - Class in edu.cmu.minorthird.util.gui

Two viewers, arranged side-by-side or top-and-bottom.

SplitViewer() - Constructor for class edu.cmu.minorthird.util.gui.SplitViewer

SplitViewer(Viewer, Viewer) - Constructor for class edu.cmu.minorthird.util.gui.SplitViewer

SQRT_INV - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

SQRTH - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

SQTPI - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Constants

stackDataset(RealRelationalDataset) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

Create a new dataset in which each instance has been augmented with the features constructed from the *predicted* labels of neighbor examples, where the prediction is made using cross-validation.

stackDataset(SequenceDataset) - Method in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

Create a new dataset in which each instance has been augmented with the history features constructed from the *predicted* labels of previous examples, where the prediction is made using cross-validation.

StackedBatchClassifierLearner - Class in edu.cmu.minorthird.classify.relational

Abstract ClassifierLearner which instantiates the teacher-learner protocol so as to implement a stacked batch learner.

StackedBatchClassifierLearner() - Constructor for class edu.cmu.minorthird.classify.relational.StackedBatchClassifierLearner

StackedClassifierTeacher - Class in edu.cmu.minorthird.classify

Implements the teacher's side of the learner-teacher protocol for SGM.

StackedClassifierTeacher() - Constructor for class edu.cmu.minorthird.classify.StackedClassifierTeacher

StackedDatasetClassifierTeacher - Class in edu.cmu.minorthird.classify

Trains a StackedClassifierLearner using the information in a labeled relational Dataset.

StackedDatasetClassifierTeacher(Dataset) - Constructor for class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

StackedDatasetClassifierTeacher(Dataset, boolean) - Constructor for class edu.cmu.minorthird.classify.StackedDatasetClassifierTeacher

StackedGraphicalLearner - Class in edu.cmu.minorthird.classify.relational

Stacked Graphical Learning based on a BatchClassifier learner

StackedGraphicalLearner() - Constructor for class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

StackedGraphicalLearner(BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

StackedGraphicalLearner(BatchClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

StackedGraphicalLearner(int) - Constructor for class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner

StackedGraphicalLearner.StackedGraphicalClassifier - Class in edu.cmu.minorthird.classify.relational

StackedGraphicalLearner.StackedGraphicalClassifier(Classifier[], StackedGraphicalLearner.StackingParams, RealRelationalDataset) - Constructor for class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

StackedGraphicalLearner.StackingParams - Class in edu.cmu.minorthird.classify.relational

Bundle of parameters for the StackedGraphicalLearner.

StackedGraphicalLearner.StackingParams() - Constructor for class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

StackedLearner - Class in edu.cmu.minorthird.classify

Stacked generalization.

StackedLearner(BatchClassifierLearner, Splitter<Example>) - Constructor for class edu.cmu.minorthird.classify.StackedLearner

Use stacked learning to calibrate the predictions of the inner learner using logistic regression.

StackedLearner(BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.StackedLearner

Use stacked learning to calibrate the predictions of the inner learner using logistic regression, using 3-CV to split.

StackedLearner() - Constructor for class edu.cmu.minorthird.classify.StackedLearner

Use stacked learning to calibrate the predictions of AdaBoost using logistic regression, using 3-CV to split.

StackedLearner(BatchClassifierLearner[], BatchClassifierLearner, Splitter<Example>) - Constructor for class edu.cmu.minorthird.classify.StackedLearner

Create a stacked learner.

StackedSequenceLearner - Class in edu.cmu.minorthird.classify.sequential

StackedSequenceLearner() - Constructor for class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

StackedSequenceLearner(SequenceClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

StackedSequenceLearner(ClassifierLearner, int) - Constructor for class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

StackedSequenceLearner(SequenceClassifierLearner, int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

StackedSequenceLearner(ClassifierLearner, int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner

StackedSequenceLearner.StackingParams - Class in edu.cmu.minorthird.classify.sequential

Bundle of parameters for the StackedSequenceLearner.

StackedSequenceLearner.StackingParams() - Constructor for class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

stackingDepth - Variable in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

stackingDepth - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

stackTestDataset(RealRelationalDataset, Map<String, ClassLabel>) - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

standardDeviation - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

standardTokenRegexPattern - Static variable in class edu.cmu.minorthird.text.RegexTokenizer

START - Static variable in class edu.cmu.minorthird.text.learn.AnnotationExample

start() - Method in class edu.cmu.minorthird.util.gui.Console

Start the task for the console.

startCurve(String) - Method in class edu.cmu.minorthird.util.gui.LineCharter

Start a new curve with a given label.

StartEndLengthAnnotator - Class in edu.cmu.minorthird.text.learn

Annotator based on classifiers for start, labels, and length.

StartEndLengthAnnotator(BinaryClassifier, BinaryClassifier, SpanFeatureExtractor, Map<Integer, Integer>, int, String) - Constructor for class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

Create an annotator.

startIgnoringWeights() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

After this call is made, the hyperplane will assume that all feature weights are one in instances.

startWithSameInitialPunctCharacters(String, String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

detect a sequence of 2 lines starting with the same punctuation (\p{Punct}) character

Statement - Class in edu.cmu.minorthird.text.mixup

StatusMessage - Class in edu.cmu.minorthird.text.gui

A simple display tool for status messages.

StatusMessage() - Constructor for class edu.cmu.minorthird.text.gui.StatusMessage

StatusMessagePanel - Class in edu.cmu.minorthird.text.gui

A panel including a status message on the bottom.

StatusMessagePanel(JComponent, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.StatusMessagePanel

statusMsg - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

statusMsg - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

stdDev() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The sample standard devation of the accumulated values.

stdErr() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The sample standard error of the accumulated values.

stDevErrors() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

standard deviation of total errors.

stDevErrorsByClass() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

standard deviation of total errors for classes 1 to K.

stDevErrorsNeg() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

standard deviation of total errors on NEGATIVE examples.

stDevErrorsPos() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

standard deviation of total errors on POSITIVE examples.

stem(TextBase, MonotonicTextLabels) - Method in class edu.cmu.minorthird.text.BoneheadStemmer

stem(String) - Method in class edu.cmu.minorthird.text.BoneheadStemmer

STEM_PROP - Static variable in class edu.cmu.minorthird.text.BoneheadStemmer

stirlingCorrection(int) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Arithmetic

stoppingCriteriaHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

stopwords(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

StopWords - Class in edu.cmu.minorthird.text

Builtin stoplist words (from SMART)

StopWords() - Constructor for class edu.cmu.minorthird.text.StopWords

STORE_AS_BINARY - Static variable in class edu.cmu.minorthird.text.learn.SpanFE

Store features as binary, whenever possible, even if occurence counts are ignored.

STORE_AS_COUNTS - Static variable in class edu.cmu.minorthird.text.learn.SpanFE

Store features as numeric counts, whenever possible

STORE_COMPACTLY - Static variable in class edu.cmu.minorthird.text.learn.SpanFE

Store features as binary or counts, trying to reduce storage while maintaining information.

strataIterator() - Method in class edu.cmu.minorthird.classify.experiments.StrataSorter

Return an iterator over lists of strata.

StrataSorter - Class in edu.cmu.minorthird.classify.experiments

Helper class for splitting up iterators over Examples, by class.

StrataSorter(Random, Iterator<Example>) - Constructor for class edu.cmu.minorthird.classify.experiments.StrataSorter

Create a StrataSorter.

StrataSorter(Iterator<Example>) - Constructor for class edu.cmu.minorthird.classify.experiments.StrataSorter

Create a StrataSorter.

StratifiedCrossValSplitter - Class in edu.cmu.minorthird.classify.experiments

Works with datasets of binary examples.

StratifiedCrossValSplitter(Random, int) - Constructor for class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

StratifiedCrossValSplitter(int) - Constructor for class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

StratifiedCrossValSplitter() - Constructor for class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

StringAnnotator - Class in edu.cmu.minorthird.text

An abstract annotator that is based on marking up substrings within a string, using the CharAnnotation class.

StringAnnotator() - Constructor for class edu.cmu.minorthird.text.StringAnnotator

StringEncoder - Class in edu.cmu.minorthird.util

Encode/decode special characters in strings.

StringEncoder(char, String) - Constructor for class edu.cmu.minorthird.util.StringEncoder

StringUtil - Class in edu.cmu.minorthird.util

String utilities.

StringUtil() - Constructor for class edu.cmu.minorthird.util.StringUtil

subBase - Variable in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

subpopIterator() - Method in class edu.cmu.minorthird.classify.experiments.SubpopSorter

Return an iterator over lists of subpopulations.

SubpopSorter<T> - Class in edu.cmu.minorthird.classify.experiments

Helper class for splitting up iterators over Instances

SubpopSorter(Random, Iterator<T>) - Constructor for class edu.cmu.minorthird.classify.experiments.SubpopSorter

Create a SubpopSorter.

SubpopSorter(Iterator<T>) - Constructor for class edu.cmu.minorthird.classify.experiments.SubpopSorter

Create a SubpopSorter.

subpopulationId - Variable in class edu.cmu.minorthird.classify.AbstractInstance

SubsamplingCrossValSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

Variant of cross-validation in which not all training data is used.

SubsamplingCrossValSplitter(Random, int, double) - Constructor for class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

SubsamplingCrossValSplitter(int, double) - Constructor for class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

SubsamplingCrossValSplitter() - Constructor for class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

subSpan(int, int) - Method in class edu.cmu.minorthird.text.BasicSpan

Create a new BasicSpan, covering the indicated TextToken's.

subSpan(int, int, int) - Method in class edu.cmu.minorthird.text.BasicSpan

Create a SubSpan of this span, covering the indicated TextToken's.

subSpan(int, int) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the specified subspan of the current span.

subSpan(int, int) - Method in interface edu.cmu.minorthird.text.Span

Create a new Span containing TextToken's lo, lo+1, ..., lo+len.

SubSpan - Class in edu.cmu.minorthird.text

A span that is a subset of another span

SubSpan(String, TextToken[], int, int, String, int) - Constructor for class edu.cmu.minorthird.text.SubSpan

substFirst(String, String, String, boolean) - Static method in class edu.cmu.minorthird.text.POSTagger

SubTextBase - Class in edu.cmu.minorthird.text.learn.experiments

A read-only TextBase which is a subset of another TextBase.

SubTextBase(TextBase, Iterator<Span>) - Constructor for class edu.cmu.minorthird.text.learn.experiments.SubTextBase

SubTextBase.UnknownDocumentException - Exception in edu.cmu.minorthird.text.learn.experiments

SubTextBase.UnknownDocumentException(String) - Constructor for exception edu.cmu.minorthird.text.learn.experiments.SubTextBase.UnknownDocumentException

SubTextLabels - Class in edu.cmu.minorthird.text.learn.experiments

A subset of another TextLabels.

SubTextLabels(SubTextBase, TextLabels) - Constructor for class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

Sum(double[]) - Static method in class edu.cmu.minorthird.classify.algorithms.random.Estimators

summarize() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Print summary statistics

summarize() - Method in class edu.cmu.minorthird.classify.multi.MultiEvaluation

Print summary statistics

SummarizeLabels - Class in edu.cmu.minorthird.text

Main routine that loads a TextLabels object and summarizes its properties.

SummarizeLabels() - Constructor for class edu.cmu.minorthird.text.SummarizeLabels

summaryStatisticNames() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

summaryStatistics() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

sumPredictedWeights(ClassLabel[], int, int) - Static method in class edu.cmu.minorthird.classify.sequential.ConfidenceUtils

SVMClassifier - Class in edu.cmu.minorthird.classify.algorithms.svm

SVMClassifier wrapps the prediction code from the libsvm library for binary or multi-class problems.

SVMClassifier(svm_model, ExampleSchema, FeatureFactory) - Constructor for class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

SVMLearner - Class in edu.cmu.minorthird.classify.algorithms.svm

Wraps the svm.svm_train algorithm from libsvm (http://www.csie.ntu.edu.tw/~cjlin/libsvm/)

Parameterization is done via an SVM object (see libsvm docs for examples/info).

SVMLearner(svm_parameter) - Constructor for class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

Construct learner using given params

SVMLearner() - Constructor for class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

default constructor

SVMUtils - Class in edu.cmu.minorthird.classify.algorithms.svm

Provides some basic utilities for dealing with libsvm.

SVMUtils() - Constructor for class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

SWITCH_MEAN - Static variable in class edu.cmu.minorthird.classify.algorithms.random.Poisson

T

T1(int, int) - Method in class edu.cmu.minorthird.classify.transform.D2TransformLearner

Compute the T1 statistic corresponding to the counts in two texts

T1(int, int) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

T1(int, int) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

Compute the T1 statistic corresponding to the counts in two texts

T1InstanceTransform - Class in edu.cmu.minorthird.classify.transform

T1InstanceTransform() - Constructor for class edu.cmu.minorthird.classify.transform.T1InstanceTransform

T1InstanceTransformLearner - Class in edu.cmu.minorthird.classify.transform

T1InstanceTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

taggerTestLabels() - Static method in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

taggerTrainLabels() - Static method in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SeqTrainTestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.SimpleTrainTestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

test(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

Test - Class in edu.cmu.minorthird.classify

Main UI program for the 'classify' package.

Test() - Constructor for class edu.cmu.minorthird.classify.Test

test(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

Test.DataClassificationTask - Class in edu.cmu.minorthird.classify

Test.DataClassificationTask() - Constructor for class edu.cmu.minorthird.classify.Test.DataClassificationTask

Test.DataClassificationTask.GUIParams - Class in edu.cmu.minorthird.classify

Test.DataClassificationTask.GUIParams() - Constructor for class edu.cmu.minorthird.classify.Test.DataClassificationTask.GUIParams

testBase() - Static method in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

TestClassifier - Class in edu.cmu.minorthird.ui

Test an existing text classifier.

TestClassifier() - Constructor for class edu.cmu.minorthird.ui.TestClassifier

testData - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

testData - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

testDataFilename - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

testDataFilename - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

Tester - Class in edu.cmu.minorthird.classify.experiments

Test a classifier, in a number of ways.

Tester() - Constructor for class edu.cmu.minorthird.classify.experiments.Tester

TestExtractor - Class in edu.cmu.minorthird.ui

Do a train/test experiment for named-entity extractors.

TestExtractor() - Constructor for class edu.cmu.minorthird.ui.TestExtractor

testLabels() - Static method in class edu.cmu.minorthird.text.learn.SampleClassificationProblem

testLabels() - Static method in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

TestMultiClassifier - Class in edu.cmu.minorthird.ui

Test an existing text classifier for multiple labels.

TestMultiClassifier() - Constructor for class edu.cmu.minorthird.ui.TestMultiClassifier

TestRandom - Class in edu.cmu.minorthird.classify.algorithms.random

Tests Poisson, Gamma, and Negative-Binomial random numbers.

TestRandom() - Constructor for class edu.cmu.minorthird.classify.algorithms.random.TestRandom

TestViewer - Class in edu.cmu.minorthird.util.gui

Some test cases for viewers.

TestViewer() - Constructor for class edu.cmu.minorthird.util.gui.TestViewer

TEXT_MESSAGE - Static variable in class edu.cmu.minorthird.util.gui.Viewer

TextBase - Interface in edu.cmu.minorthird.text

Maintains information about what's in a set of documents.

TextBaseEditor - Class in edu.cmu.minorthird.text.gui

Interactively edit the contents of a TextBase and MutableTextLabels.

TextBaseEditor(String[]) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseEditor

TextBaseEditor(TextBase, TextLabels, MutableTextLabels, StatusMessage, boolean) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseEditor

TextBaseEditor.EditTypeAction - Class in edu.cmu.minorthird.text.gui

Change the type of span being edited.

TextBaseEditor.EditTypeAction(JComboBox, JComboBox, SpanEditor) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseEditor.EditTypeAction

TextBaseEditorPlusLabeler - Class in edu.cmu.minorthird.text.gui

Label top-level "document" spans in a TextBase.

TextBaseEditorPlusLabeler(TextBase, TextLabels, MutableTextLabels, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseEditorPlusLabeler

TextBaseLabeler - Class in edu.cmu.minorthird.text.gui

Label top-level "document" spans in a TextBase.

TextBaseLabeler(TextBase, TextLabels, MutableTextLabels, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseLabeler

TextBaseLoader - Class in edu.cmu.minorthird.text

Configurable Text Loader.

TextBaseLoader() - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

Default constructor.

TextBaseLoader(int) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

Specifies the document style to use, but leaves all other properties to their defaults.

TextBaseLoader(int, boolean) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

TextBaseLoader(int, boolean, boolean) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

TextBaseLoader(int, int) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

TextBaseLoader(int, int, boolean) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

TextBaseLoader(int, int, int, int) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

TextBaseLoader(int, int, int, int, boolean, boolean) - Constructor for class edu.cmu.minorthird.text.TextBaseLoader

Deprecated.

TextBaseManager - Class in edu.cmu.minorthird.text

Manages the mappings between TextBases.

TextBaseManager(TextBase) - Constructor for class edu.cmu.minorthird.text.TextBaseManager

Creates a new TextBaseManager using the specified textbase as the root textbase and "root" as the name to identify it.

TextBaseManager(String, TextBase) - Constructor for class edu.cmu.minorthird.text.TextBaseManager

Creates a new TextBaseManager using the specified textbase as the root textbase and the specified name is used in place of "root" to identify it.

TextBaseViewer - Class in edu.cmu.minorthird.text.gui

Interactively view the contents of a TextBase and TextLabels.

TextBaseViewer(TextBase, TextLabels, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseViewer

TextBaseViewer(TextBase, TextLabels, String, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseViewer

TextBaseViewer.HighlightAction - Class in edu.cmu.minorthird.text.gui

highlights text in the spans displayed in documentList based on the options in truthBox, guessBox

TextBaseViewer.HighlightAction(String, JComboBox, JComboBox, JList) - Constructor for class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

TextClassifier - Interface in edu.cmu.minorthird.text.learn

Provides a way to find the score of a String rather than an instance

textLabels - Variable in class edu.cmu.minorthird.text.SpanDifference.Invoker

TextLabels - Interface in edu.cmu.minorthird.text

Access assertions about 'types' and 'properties' of contiguous Spans of these Seq's.

TextLabelsAnnotatorTeacher - Class in edu.cmu.minorthird.text.learn

Train an AnnotationExample from a previously annotated corpus (stored in a TextLabels).

TextLabelsAnnotatorTeacher(TextLabels, String) - Constructor for class edu.cmu.minorthird.text.learn.TextLabelsAnnotatorTeacher

TextLabelsAnnotatorTeacher(TextLabels, String, String) - Constructor for class edu.cmu.minorthird.text.learn.TextLabelsAnnotatorTeacher

TextLabelsExperiment - Class in edu.cmu.minorthird.text.learn.experiments

Run an annotation-learning experiment based on pre-labeled text.

TextLabelsExperiment(TextLabels, Splitter<Span>, String, String, String, String) - Constructor for class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

TextLabelsExperiment(TextLabels, Splitter<Span>, String, String, String, String, Extraction2TaggingReduction) - Constructor for class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

TextLabelsExperiment(TextLabels, Splitter<Span>, AnnotatorLearner, String, String) - Constructor for class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

TextLabelsExperiment(TextLabels, Splitter<Span>, TextLabels, AnnotatorLearner, String, String, String) - Constructor for class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

TextLabelsLoader - Class in edu.cmu.minorthird.text

Loads and saves the contents of a TextLabels into a file.

TextLabelsLoader() - Constructor for class edu.cmu.minorthird.text.TextLabelsLoader

TextLabelsViewer - Class in edu.cmu.minorthird.text.gui

View the contents of a bunch of spans, using the util.gui.Viewer framework.

TextLabelsViewer(TextLabels) - Constructor for class edu.cmu.minorthird.text.gui.TextLabelsViewer

TextToken - Class in edu.cmu.minorthird.text

Identifies a particular substring of a particular document.

TextToken(Document, int, int) - Constructor for class edu.cmu.minorthird.text.TextToken

TFIDFTransformLearner - Class in edu.cmu.minorthird.classify.transform

Replaces feature counts by a TFIDF version of counts.

TFIDFTransformLearner() - Constructor for class edu.cmu.minorthird.classify.transform.TFIDFTransformLearner

thousandPointROC() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Return actual ROC curve.

to - Variable in class edu.cmu.minorthird.classify.relational.Link

toAnnotatorLearner(String) - Method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

toConst(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

toDataset(String) - Static method in class edu.cmu.minorthird.classify.experiments.Expt

Decode dataset names.

toDataset(TextLabels, SpanFeatureExtractor, String, String) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Build a classification dataset from the necessary inputs.

toDataset(TextLabels, SpanFeatureExtractor, String, String, String) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Build a classification dataset from the necessary inputs.

toDetails() - Method in class edu.cmu.minorthird.classify.ClassLabel

toDetails() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

toGUI() - Method in class edu.cmu.minorthird.classify.AbstractInstance

Retrieve Viewer for the instance

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron.MyClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MaxEntLearner.MyClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.svm.SVMClassifier

GUI stuff

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

GUI

toGUI() - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.BasicDataset

A GUI view of the dataset.

toGUI() - Method in class edu.cmu.minorthird.classify.Example

Create a viewer

toGUI() - Method in class edu.cmu.minorthird.classify.experiments.ClassifiedDataset

toGUI() - Method in class edu.cmu.minorthird.classify.experiments.CrossValidatedDataset

toGUI() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

toGUI() - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

toGUI() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

toGUI() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifiedDataset

toGUI() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.multi.MultiCrossValidatedDataset

toGUI() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

A GUI view of the dataset.

toGUI() - Method in class edu.cmu.minorthird.classify.multi.MultiEvaluation

toGUI() - Method in class edu.cmu.minorthird.classify.multi.MultiExample

Create a viewer

toGUI() - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

toGUI() - Method in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackedGraphicalClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

A GUI view of the dataset.

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.ClassifiedSequenceDataset

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.CMM

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.CRFLearner

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.CrossValidatedSequenceDataset

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.GenericCollinsLearnerV1.MultiClassClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.HyperplaneInstance

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.SegmentCollinsPerceptronLearner.ViterbiSegmenter

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

A GUI view of the dataset.

toGUI() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

A GUI view of the dataset.

toGUI() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

toGUI() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

toGUI() - Method in class edu.cmu.minorthird.classify.transform.TransformingClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

toGUI() - Method in class edu.cmu.minorthird.classify.TweakedLearner.TweakedClassifier

toGUI() - Method in class edu.cmu.minorthird.text.BasicSpan

toGUI() - Method in class edu.cmu.minorthird.text.BasicTextLabels

toGUI() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMAnnotator

toGUI() - Method in class edu.cmu.minorthird.text.learn.ConfidenceReportingSequenceAnnotator

toGUI() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

toGUI() - Method in class edu.cmu.minorthird.text.learn.experiments.SubTextLabels

toGUI() - Method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

toGUI() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner.SegmentAnnotator

toGUI() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

toGUI() - Method in class edu.cmu.minorthird.text.NestedTextLabels

toGUI() - Method in interface edu.cmu.minorthird.util.gui.Visible

Create a view of this object

toInstanceIterator(Iterator<T>) - Static method in class edu.cmu.minorthird.classify.Util

token(int) - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the specified token inside the span.

Token - Interface in edu.cmu.minorthird.text

An interned version of a string.

TOKEN_REGEX_DEFAULT_VALUE - Static variable in class edu.cmu.minorthird.text.RegexTokenizer

TOKEN_REGEX_PROP - Static variable in class edu.cmu.minorthird.text.RegexTokenizer

How to split tokens up

tokenF1() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

tokenizer - Variable in class edu.cmu.minorthird.text.AbstractTextBase

Tokenizer - Interface in edu.cmu.minorthird.text

tokenizerPattern - Static variable in class edu.cmu.minorthird.text.mixup.Mixup

tokenPrecision() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

tokenPrecision() - Method in class edu.cmu.minorthird.text.SpanDifference

Return the percentage of tokens in 'guess' spans that are true positives (ignoring tokens that are UNKNOWN_POS).

tokenProp - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

tokenProp(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

tokenPropertyFeatures - Variable in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

tokenPropertyFeatures - Variable in class edu.cmu.minorthird.ui.Recommended.TokenPropUsingFE

tokenProps(String) - Method in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE.MyCLP

tokenProps(String) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

tokenRecall() - Method in class edu.cmu.minorthird.text.learn.experiments.ExtractionEvaluation

tokenRecall() - Method in class edu.cmu.minorthird.text.SpanDifference

Return the percentage of tokens in true positive spans that are in guess spans (ignoring tokens that are UNKNOWN_POS).

tokens() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

Move to the set of all tokens contained by this span.

tokens() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

Find the set of all tokens contained by any span in the set.

toLearner(String) - Static method in class edu.cmu.minorthird.classify.experiments.Expt

Decode learner name, which should be a legitimate java constructor, e.g.

toLogicalCharIndex(int) - Method in class edu.cmu.minorthird.text.gui.SpanDocument

Convert a character index in the text being displayed to a char index in the actual document which the display is a part of

toMultiDataset(MonotonicTextLabels, SpanFeatureExtractor, String[]) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Build a classification dataset from the necessary inputs.

TOP - Static variable in class edu.cmu.minorthird.util.gui.ViewerControls

toSeqDataset(TextLabels, SpanFeatureExtractor, String, String) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Build a classification dataset from the necessary inputs.

toSeqLearner(String) - Static method in class edu.cmu.minorthird.text.learn.experiments.SequenceAnnotatorExpt

toSeqLearner(String) - Static method in class edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

toSequenceDataset(TextLabels, SpanFeatureExtractor, int, String) - Static method in class edu.cmu.minorthird.ui.CommandLineUtil

Build a sequential classification dataset from the necessary inputs.

toSplitter(String, Class<T>) - Static method in class edu.cmu.minorthird.classify.experiments.Expt

Decode splitter names.

toSplitter(String) - Static method in class edu.cmu.minorthird.classify.experiments.Expt

toString() - Method in class edu.cmu.minorthird.classify.AbstractInstance

Debugging view of an instance.

toString() - Method in class edu.cmu.minorthird.classify.algorithms.knn.KnnLearner

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow.MyClassifier

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.BBMira

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Hyperplane

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.KernelVotedPerceptron

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MarginPerceptron

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.MultinomialClassifier

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.NegativeBinomialClassifier

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow.MyClassifier

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.ROMMALearner

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

toString() - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow

toString() - Method in class edu.cmu.minorthird.classify.algorithms.random.Estimate

toString() - Method in class edu.cmu.minorthird.classify.algorithms.random.Gamma

Returns a String representation of the receiver.

toString() - Method in class edu.cmu.minorthird.classify.algorithms.random.NegativeBinomial

toString() - Method in class edu.cmu.minorthird.classify.algorithms.random.Normal

Returns a String representation of the receiver.

toString() - Method in class edu.cmu.minorthird.classify.algorithms.random.Poisson

Returns a String representation of the receiver.

toString(svm_node) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

toString(svm_node[]) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

toString(svm_problem) - Static method in class edu.cmu.minorthird.classify.algorithms.svm.SVMUtils

toString() - Method in class edu.cmu.minorthird.classify.algorithms.trees.RandomForests.VotingClassifier

toString() - Method in class edu.cmu.minorthird.classify.BasicDataset

A string view of the dataset

toString() - Method in class edu.cmu.minorthird.classify.BasicFeatureIndex

toString() - Method in class edu.cmu.minorthird.classify.ClassLabel

toString() - Method in class edu.cmu.minorthird.classify.DatasetIndex

toString() - Method in class edu.cmu.minorthird.classify.Example

toString() - Method in class edu.cmu.minorthird.classify.ExampleSchema

toString() - Method in class edu.cmu.minorthird.classify.experiments.CrossValSplitter

toString() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation.Matrix

toString() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Detailed view.

toString() - Method in class edu.cmu.minorthird.classify.experiments.EvaluationGroup

toString() - Method in class edu.cmu.minorthird.classify.experiments.Expt

toString() - Method in class edu.cmu.minorthird.classify.experiments.LeaveOneOutSplitter

toString() - Method in class edu.cmu.minorthird.classify.experiments.RandomSplitter

toString() - Method in class edu.cmu.minorthird.classify.experiments.StratifiedCrossValSplitter

toString() - Method in class edu.cmu.minorthird.classify.experiments.SubsamplingCrossValSplitter

toString() - Method in class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

toString() - Method in class edu.cmu.minorthird.classify.Feature

toString() - Method in class edu.cmu.minorthird.classify.FeatureFactory.CompactInstance

toString() - Method in class edu.cmu.minorthird.classify.FeatureFactory

toString() - Method in class edu.cmu.minorthird.classify.MistakeCountingOnlineLearner

toString() - Method in class edu.cmu.minorthird.classify.multi.InstanceFromPrediction

toString() - Method in class edu.cmu.minorthird.classify.multi.MultiClassifier

toString() - Method in class edu.cmu.minorthird.classify.multi.MultiClassLabel

toString() - Method in class edu.cmu.minorthird.classify.multi.MultiDataset

A string view of the dataset

toString() - Method in class edu.cmu.minorthird.classify.multi.MultiDatasetIndex

toString() - Method in class edu.cmu.minorthird.classify.multi.MultiExampleSchema

toString() - Method in class edu.cmu.minorthird.classify.OneVsAllClassifier

toString() - Method in class edu.cmu.minorthird.classify.RandomAccessDataset

toString() - Method in class edu.cmu.minorthird.classify.relational.Link

toString() - Method in class edu.cmu.minorthird.classify.semisupervised.MultinomialClassifier

toString() - Method in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

A string view of the dataset

toString() - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

toString() - Method in class edu.cmu.minorthird.classify.sequential.InstanceFromSequence

toString() - Method in class edu.cmu.minorthird.classify.sequential.MultiClassHMMClassifier

toString() - Method in class edu.cmu.minorthird.classify.sequential.MutableCandidateSegmentGroup

toString() - Method in class edu.cmu.minorthird.classify.sequential.Segmentation.Segment

toString() - Method in class edu.cmu.minorthird.classify.sequential.Segmentation

toString() - Method in class edu.cmu.minorthird.classify.sequential.SegmentDataset

toString() - Method in class edu.cmu.minorthird.classify.sequential.SequenceDataset

toString() - Method in class edu.cmu.minorthird.classify.SGMExample

toString() - Method in class edu.cmu.minorthird.classify.transform.AugmentedInstance

toString(int) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

displays the top ranked features and their scores

toString() - Method in class edu.cmu.minorthird.classify.transform.ContingencyTable

toString() - Method in class edu.cmu.minorthird.classify.transform.DictionaryTransform

toString(int) - Method in class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

get top ranked features

toString() - Method in class edu.cmu.minorthird.classify.transform.MaskedInstance

toString() - Method in class edu.cmu.minorthird.classify.transform.ReweightingInstanceTransform

toString() - Method in class edu.cmu.minorthird.classify.WeightedSet

toString() - Method in class edu.cmu.minorthird.text.BasicSpan

toString() - Method in class edu.cmu.minorthird.text.BasicTextLabels

toString() - Method in class edu.cmu.minorthird.text.CharAnnotation

toString() - Method in class edu.cmu.minorthird.text.EmptyLabels

toString() - Method in class edu.cmu.minorthird.text.learn.AnnotationExample

toString() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.Segments

toString() - Method in class edu.cmu.minorthird.text.learn.FilteredFinder

toString() - Method in class edu.cmu.minorthird.text.learn.SegmentAnnotatorLearner.SegmentAnnotator

toString() - Method in class edu.cmu.minorthird.text.learn.SequenceAnnotatorLearner.SequenceAnnotator

toString() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

toString() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

toString() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

toString() - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

toString() - Method in class edu.cmu.minorthird.text.learn.StartEndLengthAnnotator

toString() - Method in class edu.cmu.minorthird.text.mixup.Mixup

toString() - Method in class edu.cmu.minorthird.text.mixup.MixupProgram

List the program

toString() - Method in class edu.cmu.minorthird.text.mixup.Statement

toString() - Method in class edu.cmu.minorthird.text.NestedTextLabels

toString() - Method in class edu.cmu.minorthird.text.SpanDifference

toString() - Method in class edu.cmu.minorthird.text.TextToken

toString() - Method in class edu.cmu.minorthird.text.Trie

Pretty-print the entire trie.

toString() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleInner

toString() - Method in class edu.cmu.minorthird.util.gui.TypeSelector.SampleOuter

toString(Object[]) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert an array to a string.

toString(double[]) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert an array to a string.

toString(int[]) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert an array to a string.

toString(Object[], String, String, String) - Static method in class edu.cmu.minorthird.util.StringUtil

toString(double[], String, String, String) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert an array of doubles to a string.

toString(int[], String, String, String) - Static method in class edu.cmu.minorthird.util.StringUtil

Convert an array of ints to a string.

toSummary() - Method in class edu.cmu.minorthird.text.SpanDifference

Return a string containing all the summary statistics printed moderately neatly on two lines.

toTable() - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

A summary table.

toTable(String, int) - Method in class edu.cmu.minorthird.classify.ranking.RankingEvaluation

toTableInViewer() - Method in class edu.cmu.minorthird.classify.algorithms.random.Estimate

total() - Method in class edu.cmu.minorthird.classify.transform.ContingencyTable

totalSize - Variable in class edu.cmu.minorthird.classify.sequential.SequenceDataset

toXML(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ViewLabelsParams

toyBayesExtremeTest() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

toyBayesExtremeTrain() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

toyBayesExtremeUnlabeledTrain() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

toyBayesTest() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Test data for a trivial classification problem.

toyBayesTrain() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Training data for a trivial classification problem.

toyTest() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Test data for a trivial classification problem.

toyTrain() - Static method in class edu.cmu.minorthird.classify.SampleDatasets

Training data for a trivial classification problem.

tpColor() - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer.HighlightAction

TPfractionFPfractionScore() - Method in class edu.cmu.minorthird.classify.experiments.Evaluation

Return array of true positive,false positive,logitScore.

tr(String, String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

trace() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanResult

trace() - Method in class edu.cmu.minorthird.text.learn.SpanFE.SpanSetResult

trace() - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

trace() - Method in class edu.cmu.minorthird.text.learn.SpanFE.TokenSetResult

trace(SpanFE.Result) - Method in class edu.cmu.minorthird.text.learn.SpanFE

Subclass this to change the tracing behavior.

Traceback2 - Class in edu.cmu.minorthird.classify.sequential

Traceback2(int, int) - Constructor for class edu.cmu.minorthird.classify.sequential.Traceback2

TrackedTextBaseComponent - Class in edu.cmu.minorthird.text.gui

A TextBaseViewer augmented with a ViewerTracker component.

TrackedTextBaseComponent() - Constructor for class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

TrackedTextBaseComponent(TextBase, TextLabels, MutableTextLabels, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

train(ClassifierLearner) - Method in class edu.cmu.minorthird.classify.ClassifierTeacher

Train a ClassifierLearner and return the learned Classifier, using some unspecified source of information to get labels.

train(ClassifierLearner) - Method in class edu.cmu.minorthird.classify.multi.MultiClassifierTeacher

Train a ClassifierLearner and return the learned Classifier, using some unspecified source of information to get labels.

train(SemiSupervisedClassifierLearner) - Method in class edu.cmu.minorthird.classify.semisupervised.DatasetSemiSupervisedClassifierTeacher

Currently, only support batch learners.

train(SemiSupervisedClassifierLearner) - Method in interface edu.cmu.minorthird.classify.semisupervised.SemiSupervisedClassifierTeacher

train(SequenceClassifierLearner) - Method in class edu.cmu.minorthird.classify.sequential.DatasetSequenceClassifierTeacher

Currently, only support batch learners.

train(SequenceClassifierLearner) - Method in interface edu.cmu.minorthird.classify.sequential.SequenceClassifierTeacher

Train - Class in edu.cmu.minorthird.classify

Main UI program for the 'classify' package.

Train() - Constructor for class edu.cmu.minorthird.classify.Train

train(AnnotatorLearner) - Method in class edu.cmu.minorthird.text.learn.AnnotatorTeacher

train(Iterator<AnnotationExample>) - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE

train - Variable in class edu.cmu.minorthird.ui.TrainTestClassifier

train - Variable in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

Train.DataClassificationTask - Class in edu.cmu.minorthird.classify

Train.DataClassificationTask() - Constructor for class edu.cmu.minorthird.classify.Train.DataClassificationTask

Train.DataClassificationTask.GUIParams - Class in edu.cmu.minorthird.classify

Train.DataClassificationTask.GUIParams() - Constructor for class edu.cmu.minorthird.classify.Train.DataClassificationTask.GUIParams

trainBase() - Static method in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

TrainClassifier - Class in edu.cmu.minorthird.ui

Train a text classifier.

TrainClassifier() - Constructor for class edu.cmu.minorthird.ui.TrainClassifier

trainData - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

trainDataFilename - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

trainDistances(ExampleSchema, SoftDictionary[]) - Method in class edu.cmu.minorthird.classify.transform.LeaveOneOutDictTransformLearner

trainDistances() - Method in class edu.cmu.minorthird.text.learn.ConditionalSemiMarkovModel.CSMMWithDictionarySpanFE

TrainExtractor - Class in edu.cmu.minorthird.ui

Train a named-entity extractor.

TrainExtractor() - Constructor for class edu.cmu.minorthird.ui.TrainExtractor

trainLabels() - Static method in class edu.cmu.minorthird.text.learn.SampleClassificationProblem

trainLabels() - Static method in class edu.cmu.minorthird.text.learn.SampleExtractionProblem

TrainMultiClassifier - Class in edu.cmu.minorthird.ui

Train a text classifier.

TrainMultiClassifier() - Constructor for class edu.cmu.minorthird.ui.TrainMultiClassifier

trainStacked(StackedBatchClassifierLearner) - Method in class edu.cmu.minorthird.classify.StackedClassifierTeacher

Train a StackedGraphicalLearner and return the learned Classifier, using some unspecified source of information to get labels.

TrainTest - Class in edu.cmu.minorthird.classify

Main UI program for the 'classify' package.

TrainTest() - Constructor for class edu.cmu.minorthird.classify.TrainTest

trainTest - Variable in class edu.cmu.minorthird.ui.TrainTestClassifier

trainTest - Variable in class edu.cmu.minorthird.ui.TrainTestMultiClassifier

TrainTest.DataClassificationTask - Class in edu.cmu.minorthird.classify

TrainTest.DataClassificationTask() - Constructor for class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

TrainTest.DataClassificationTask.GUIParams - Class in edu.cmu.minorthird.classify

TrainTest.DataClassificationTask.GUIParams() - Constructor for class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask.GUIParams

TrainTestClassifier - Class in edu.cmu.minorthird.ui

Do a train/test experiment on a text classifier.

TrainTestClassifier() - Constructor for class edu.cmu.minorthird.ui.TrainTestClassifier

TrainTestExtractor - Class in edu.cmu.minorthird.ui

Do a train/test experiment for named-entity extractors.

TrainTestExtractor() - Constructor for class edu.cmu.minorthird.ui.TrainTestExtractor

TrainTestMultiClassifier - Class in edu.cmu.minorthird.ui

Do a train/test experiment on a text classifier for data with multiple labels.

TrainTestMultiClassifier() - Constructor for class edu.cmu.minorthird.ui.TrainTestMultiClassifier

TrainTestTagger - Class in edu.cmu.minorthird.ui

Do a train/test experiment for word taggers.

TrainTestTagger() - Constructor for class edu.cmu.minorthird.ui.TrainTestTagger

transform(Example) - Method in class edu.cmu.minorthird.classify.transform.AbstractInstanceTransform

transform(MultiExample) - Method in class edu.cmu.minorthird.classify.transform.AbstractInstanceTransform

transform(Dataset) - Method in class edu.cmu.minorthird.classify.transform.AbstractInstanceTransform

transform(MultiDataset) - Method in class edu.cmu.minorthird.classify.transform.AbstractInstanceTransform

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.AbstractInstanceTransform

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.ChiSquareInstanceTransform

Transform an instance according to Info-Gain criterion

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.DictionaryTransform

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

Not used

transform(Example) - Method in class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

Not used

transform(Dataset) - Method in class edu.cmu.minorthird.classify.transform.InfoGainInstanceTransform

Transform a dataset according to Info-Gain criterion

transform(Instance) - Method in interface edu.cmu.minorthird.classify.transform.InstanceTransform

Create a transformed copy of the instance.

transform(Example) - Method in interface edu.cmu.minorthird.classify.transform.InstanceTransform

Create a transformed copy of the example.

transform(Dataset) - Method in interface edu.cmu.minorthird.classify.transform.InstanceTransform

Create a transformed copy of a dataset.

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedInstanceTransform

Not used

transform(Example) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedInstanceTransform

Not used

transform(Dataset) - Method in class edu.cmu.minorthird.classify.transform.OrderBasedInstanceTransform

Transform a dataset according to Info-Gain criterion

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.PredictedClassTransform

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.ReweightingInstanceTransform

transform(Instance) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Create a transformed copy of the instance.

transform(Example) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Create a transformed copy of the example.

transform(Dataset) - Method in class edu.cmu.minorthird.classify.transform.T1InstanceTransform

Create a transformed copy of a dataset.

transform(Object) - Method in class edu.cmu.minorthird.util.gui.TransformedVanillaViewer

transform(Object) - Method in class edu.cmu.minorthird.util.gui.TransformedViewer

Transform the object before viewing it.

transform(Object) - Method in interface edu.cmu.minorthird.util.gui.Viewer.Transform

TransformedVanillaViewer - Class in edu.cmu.minorthird.util.gui

A 'vanilla' view of a transformed object.

TransformedVanillaViewer() - Constructor for class edu.cmu.minorthird.util.gui.TransformedVanillaViewer

TransformedViewer - Class in edu.cmu.minorthird.util.gui

View an object after passing it through a transformation.

TransformedViewer() - Constructor for class edu.cmu.minorthird.util.gui.TransformedViewer

TransformedViewer(Object) - Constructor for class edu.cmu.minorthird.util.gui.TransformedViewer

TransformedViewer(Viewer) - Constructor for class edu.cmu.minorthird.util.gui.TransformedViewer

TransformingBatchLearner - Class in edu.cmu.minorthird.classify.transform

Learns to first transforming data with an InstanceTransform, then classify it.

TransformingBatchLearner() - Constructor for class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

TransformingBatchLearner(InstanceTransformLearner, BatchClassifierLearner) - Constructor for class edu.cmu.minorthird.classify.transform.TransformingBatchLearner

TransformingClassifier - Class in edu.cmu.minorthird.classify.transform

TransformingClassifier(Classifier, InstanceTransform) - Constructor for class edu.cmu.minorthird.classify.transform.TransformingClassifier

TransformingMultiClassifier - Class in edu.cmu.minorthird.classify.transform

TransformingMultiClassifier(MultiClassifier, AbstractInstanceTransform) - Constructor for class edu.cmu.minorthird.classify.transform.TransformingMultiClassifier

trie - Variable in class edu.cmu.minorthird.text.BasicTextLabels

TRIE - Static variable in class edu.cmu.minorthird.text.mixup.Statement

Trie - Class in edu.cmu.minorthird.text

Efficient scheme for matching a rote list of sequences of tokens.

Trie() - Constructor for class edu.cmu.minorthird.text.Trie

Trie.ResultIterator - Interface in edu.cmu.minorthird.text

An extension of Span.Looper which also returns the ids associated with a Span.

TrivialSequenceClassifier - Class in edu.cmu.minorthird.classify.sequential

Apply a classifier to each item in a sequence in turn, using as history the previous predicted items.

TrivialSequenceClassifier(Classifier, int) - Constructor for class edu.cmu.minorthird.classify.sequential.TrivialSequenceClassifier

TRUE_POS - Static variable in class edu.cmu.minorthird.text.SpanDifference

Indicates a true positive negative span.

trueType - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

trueType(String) - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

truncate(int, String) - Static method in class edu.cmu.minorthird.util.StringUtil

Truncate a string to fixed length.

tryToGetCLP(Object) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

tweak(CMM, double) - Method in class edu.cmu.minorthird.classify.sequential.CMMTweaker

Return a copy of a CMM in which the one bias term, for the hyperplane corresponding to the NEG class, has been changed.

tweak(ExtractorAnnotator, double) - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker

Return a modified copy of the annotator.

TweakedLearner - Class in edu.cmu.minorthird.classify

A Tweaked Learner, with an optimization of the precision vs.

TweakedLearner(BinaryClassifierLearner, double) - Constructor for class edu.cmu.minorthird.classify.TweakedLearner

Public methods

TweakedLearner.TweakedClassifier - Class in edu.cmu.minorthird.classify

A Tweaked Classifier, with an optimization of the precision vs.

TweakedLearner.TweakedClassifier(BinaryClassifier, double) - Constructor for class edu.cmu.minorthird.classify.TweakedLearner.TweakedClassifier

type - Static variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

type(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

type - Static variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

type(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

type - Static variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

type(String) - Method in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

type - Variable in class edu.cmu.minorthird.classify.relational.Link

types - Variable in class edu.cmu.minorthird.text.gui.MarkupControls

TypeSelector - Class in edu.cmu.minorthird.util.gui

Allows user to select among possible instantiations of a particular type, and edit bean properties of these instantiations.

TypeSelector(Class[], Class) - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector

TypeSelector(Class[], String, Class) - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector

TypeSelector(Class[], String[], String[], String, Class) - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector

TypeSelector.AbstractSample - Class in edu.cmu.minorthird.util.gui

TypeSelector.AbstractSample() - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.AbstractSample

TypeSelector.HelpViewer - Class in edu.cmu.minorthird.util.gui

TypeSelector.HelpViewer() - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.HelpViewer

TypeSelector.PropertyEditor - Class in edu.cmu.minorthird.util.gui

Allows properties of an object to be modified in a GUI.

TypeSelector.PropertyEditor() - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.PropertyEditor

TypeSelector.PropertyEditor(boolean, boolean) - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.PropertyEditor

TypeSelector.PropertyEditor.Selection - Class in edu.cmu.minorthird.util.gui

TypeSelector.PropertyEditor.Selection() - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.PropertyEditor.Selection

TypeSelector.SampleInner - Class in edu.cmu.minorthird.util.gui

TypeSelector.SampleInner() - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.SampleInner

TypeSelector.SampleOuter - Class in edu.cmu.minorthird.util.gui

TypeSelector.SampleOuter() - Constructor for class edu.cmu.minorthird.util.gui.TypeSelector.SampleOuter

typeString - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TestParams

typeString - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams

typeString - Variable in class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams

U

UI - Class in edu.cmu.minorthird.classify

Main UI program for the 'classify' package.

UI() - Constructor for class edu.cmu.minorthird.classify.UI

UI.DataClassificationTask - Class in edu.cmu.minorthird.classify

UI.DataClassificationTask() - Constructor for class edu.cmu.minorthird.classify.UI.DataClassificationTask

UI.DataClassificationTask.GUIParams - Class in edu.cmu.minorthird.classify

UI.DataClassificationTask.GUIParams() - Constructor for class edu.cmu.minorthird.classify.UI.DataClassificationTask.GUIParams

UIMain - Class in edu.cmu.minorthird.ui

Main UI program.

UIMain() - Constructor for class edu.cmu.minorthird.ui.UIMain

UnigramModel - Class in edu.cmu.minorthird.text.model

Unigram Language Model

UnigramModel() - Constructor for class edu.cmu.minorthird.text.model.UnigramModel

UnionIterator<E> - Class in edu.cmu.minorthird.util

UnionIterator(Iterator<E>, Iterator<E>) - Constructor for class edu.cmu.minorthird.util.UnionIterator

UNKNOWN_POS - Static variable in class edu.cmu.minorthird.text.SpanDifference

Indicates something inside a guess span which may or may not be inside a truth span.

unlabeled() - Static method in class edu.cmu.minorthird.text.learn.SampleClassificationProblem

unlabeledExamples - Variable in class edu.cmu.minorthird.classify.BasicDataset

unlabeledExamples - Variable in class edu.cmu.minorthird.classify.multi.MultiDataset

unlabeledExamples - Variable in class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedDataset

upButton - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

update(String, Instance, double) - Method in class edu.cmu.minorthird.classify.sequential.CollinsPerceptronLearner.MultiClassVPClassifier

updateTextLabels(TextLabels) - Method in class edu.cmu.minorthird.text.gui.TextBaseViewer

change the text labels

updateTextLabels(TextLabels) - Method in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

change the text labels

updateViewLabels(TextLabels) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

change the text labels

updateVotedHyperplane(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.BalancedWinnow

updateVotedHyperplane(int) - Method in class edu.cmu.minorthird.classify.algorithms.linear.RegretWinnow

updateVotedHyperplane(int) - Method in class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

updateVotedHyperplane(double) - Method in class edu.cmu.minorthird.classify.algorithms.linear.Winnow

URLAnnotator - Class in edu.cmu.minorthird.text

Annotate substrings that are legal URLs.

URLAnnotator() - Constructor for class edu.cmu.minorthird.text.URLAnnotator

usage() - Method in class edu.cmu.minorthird.classify.Test.DataClassificationTask.GUIParams

usage() - Method in class edu.cmu.minorthird.classify.Train.DataClassificationTask.GUIParams

usage() - Method in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask.GUIParams

usage() - Method in class edu.cmu.minorthird.classify.UI.DataClassificationTask.GUIParams

usage() - Method in class edu.cmu.minorthird.text.learn.ExtractorNameMatcher.MyCLP

usage() - Method in class edu.cmu.minorthird.text.learn.ExtractorTweaker.MyCLP

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.AnnotatorOutputParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.BaseParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ClassificationSignalParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.EditParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ExtractionSignalParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.GUIParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.LoadAnnotatorParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MixupParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.MultiClassificationSignalParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineBaseParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineLearnerParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.OnlineSignalParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SaveParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.SplitterParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TaggerSignalParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestClassifierParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TestExtractorParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainClassifierParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainExtractorParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.TrainTaggerParams

usage() - Method in class edu.cmu.minorthird.ui.CommandLineUtil.ViewLabelsParams

usage() - Method in class edu.cmu.minorthird.ui.PreprocessTextForClassifier.LinkFileParams

usage() - Method in class edu.cmu.minorthird.ui.PreprocessTextForExtractor

usage(String) - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

usage() - Method in class edu.cmu.minorthird.util.BasicCommandLineProcessor

Override this to print a meaningful usage error.

usage(String) - Method in interface edu.cmu.minorthird.util.CommandLineProcessor

Prints errorMessage and then calls usage().

usage() - Method in interface edu.cmu.minorthird.util.CommandLineProcessor

Give usage() information.

usage(String) - Method in class edu.cmu.minorthird.util.JointCommandLineProcessor

usage() - Method in class edu.cmu.minorthird.util.JointCommandLineProcessor

USE_XML - Static variable in class edu.cmu.minorthird.text.TextBaseLoader

useCharType - Variable in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

useCharType - Variable in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

useCharType - Variable in class edu.cmu.minorthird.ui.Recommended.TokenFE

useCharTypePattern - Variable in class edu.cmu.minorthird.ui.Recommended.HMMTokenFE

useCharTypePattern - Variable in class edu.cmu.minorthird.ui.Recommended.TokenFE

useCompressedCharType - Variable in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

useConfidence - Variable in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

useConfidence - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

useGUI - Variable in class edu.cmu.minorthird.classify.Test.DataClassificationTask

useGUI - Variable in class edu.cmu.minorthird.classify.Train.DataClassificationTask

useGUI - Variable in class edu.cmu.minorthird.classify.TrainTest.DataClassificationTask

useGUI - Variable in class edu.cmu.minorthird.classify.UI.DataClassificationTask

useGUI - Variable in class edu.cmu.minorthird.ui.CommandLineUtil.GUIParams

useHighPrecisionArithmeticHelp - Variable in class edu.cmu.minorthird.classify.sequential.CRFLearner

useLogistic - Variable in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

useLogistic - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

useShrinkingHeuristicsHelp - Static variable in class edu.cmu.minorthird.classify.algorithms.svm.SVMLearner

useTargetPrediction - Variable in class edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

useTargetPrediction - Variable in class edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

useTokenValues - Variable in class edu.cmu.minorthird.ui.Recommended.TokenFE

usewords(String) - Method in class edu.cmu.minorthird.text.learn.SpanFE.StringBagResult

Use ONLY words in Dictionary File.

Util - Class in edu.cmu.minorthird.classify

Util() - Constructor for class edu.cmu.minorthird.classify.Util

V

validClassNames() - Method in class edu.cmu.minorthird.classify.ExampleSchema

Get an array of all valid class names.

valueChanged(ListSelectionEvent) - Method in class edu.cmu.minorthird.text.gui.ViewerTracker

implement ListSelectionListener, so can use this to listen to the documentList.

values - Variable in class edu.cmu.minorthird.classify.experiments.Evaluation.Matrix

VanillaViewer - Class in edu.cmu.minorthird.util.gui

View an objects 'toString()' representation.

VanillaViewer(Object) - Constructor for class edu.cmu.minorthird.util.gui.VanillaViewer

VanillaViewer() - Constructor for class edu.cmu.minorthird.util.gui.VanillaViewer

variance - Variable in class edu.cmu.minorthird.classify.algorithms.random.Normal

variance() - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The variance of the accumulated values.

Version - Class in edu.cmu.minorthird.util

Stores the version number as:

Version # Format: Version#.Year.Month.Day

Version History:

Version() - Constructor for class edu.cmu.minorthird.util.Version

view(TextLabels) - Static method in class edu.cmu.minorthird.text.gui.TextBaseViewer

Pop up a frame for viewing the labels.

view(String) - Method in class edu.cmu.minorthird.text.LabeledDirectory.MyCLP

viewButton - Static variable in class edu.cmu.minorthird.ui.UIMain

viewEntireDocument - Static variable in class edu.cmu.minorthird.text.gui.ViewerTracker

viewer - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

Viewer - Class in edu.cmu.minorthird.util.gui

Visualize an object, and obey certain rules for propogating events.

Viewer() - Constructor for class edu.cmu.minorthird.util.gui.Viewer

Viewer(Object) - Constructor for class edu.cmu.minorthird.util.gui.Viewer

Viewer.Transform - Interface in edu.cmu.minorthird.util.gui

viewer1 - Variable in class edu.cmu.minorthird.util.gui.SplitViewer

viewer2 - Variable in class edu.cmu.minorthird.util.gui.SplitViewer

ViewerControls - Class in edu.cmu.minorthird.util.gui

Controls for a ControlledViewer.

ViewerControls() - Constructor for class edu.cmu.minorthird.util.gui.ViewerControls

ViewerFrame - Class in edu.cmu.minorthird.util.gui

Top-level container for a Viewer.

ViewerFrame(String, Viewer) - Constructor for class edu.cmu.minorthird.util.gui.ViewerFrame

viewerTracker - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

ViewerTracker - Class in edu.cmu.minorthird.text.gui

Tracks what's selected in the documentList of a TextBaseViewer.

ViewerTracker(TextLabels, MutableTextLabels, JList, SpanPainter, StatusMessage) - Constructor for class edu.cmu.minorthird.text.gui.ViewerTracker

ViewerTracker.ContextWidthSlider - Class in edu.cmu.minorthird.text.gui

ViewerTracker.ContextWidthSlider() - Constructor for class edu.cmu.minorthird.text.gui.ViewerTracker.ContextWidthSlider

ViewerTracker.MoveDocumentCursor - Class in edu.cmu.minorthird.text.gui

Move through list of spans

ViewerTracker.MoveDocumentCursor(String, int) - Constructor for class edu.cmu.minorthird.text.gui.ViewerTracker.MoveDocumentCursor

ViewerTracker.SaveLabelsAction - Class in edu.cmu.minorthird.text.gui

ViewerTracker.SaveLabelsAction(String) - Constructor for class edu.cmu.minorthird.text.gui.ViewerTracker.SaveLabelsAction

viewLabels - Variable in class edu.cmu.minorthird.text.gui.TrackedTextBaseComponent

viewLabels - Variable in class edu.cmu.minorthird.text.gui.ViewerTracker

ViewLabels - Class in edu.cmu.minorthird.ui

Interactively view TextLabels.

ViewLabels() - Constructor for class edu.cmu.minorthird.ui.ViewLabels

viewLabels - Variable in class edu.cmu.minorthird.ui.ViewLabels

Visible - Interface in edu.cmu.minorthird.util.gui

Marker interface for things with GUIs.

VisibleSVM - Class in edu.cmu.minorthird.classify.algorithms.svm

VisibleSVM processes the svm_model from LIBSVM into recognizabled formats, and visible GUI in MINORTHIRD.

VisibleSVM(svm_model, FeatureFactory) - Constructor for class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

Constructor for the svm_model returned from SVMClassifier LIBSVM training.

VisibleSVM(svm_model, FeatureFactory, ExampleSchema) - Constructor for class edu.cmu.minorthird.classify.algorithms.svm.VisibleSVM

Constructor for the svm_model returned from MultiClassSVMClassifier LIBSVM training.

viterbi(int) - Method in class edu.cmu.minorthird.classify.sequential.BeamSearcher

Retrieve the k-th best result of the previous beam search.

Viterbi - Class in edu.cmu.minorthird.classify.sequential

Viterbi(HMM, String[]) - Constructor for class edu.cmu.minorthird.classify.sequential.Viterbi

VitorBalancedWinnow - Class in edu.cmu.minorthird.classify.algorithms.linear

Created on Sep 22, 2005

VitorBalancedWinnow() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

Constructor

VitorBalancedWinnow(boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

Constructor: voted="true" (more stable) or "false"(more aggressive)

VitorBalancedWinnow(double, double, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow

VitorBalancedWinnow.MyClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

VitorBalancedWinnow.MyClassifier(Hyperplane, Hyperplane, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.VitorBalancedWinnow.MyClassifier

VotedPerceptron - Class in edu.cmu.minorthird.classify.algorithms.linear

Voted perceptron algorithm.

VotedPerceptron() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron

VotedPerceptron(boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron

If ignoreWeights is true, treat all weights as binary.

W

WebmasterSplitter<T> - Class in edu.cmu.minorthird.classify.experiments

A complicated splitter that stratifies samples according to an arbitrary "profile" property, and restricts train/test splits to not cross boundaries defined by "user" and "request" properties.

WebmasterSplitter(String, double, int) - Constructor for class edu.cmu.minorthird.classify.experiments.WebmasterSplitter

weight - Variable in class edu.cmu.minorthird.classify.Example

WeightedSet<T> - Class in edu.cmu.minorthird.classify

Set of objects, each with an associated weight

WeightedSet() - Constructor for class edu.cmu.minorthird.classify.WeightedSet

window(String) - Method in class edu.cmu.minorthird.ui.Recommended.TokenFE.MyCLP

windowSize - Variable in class edu.cmu.minorthird.text.learn.SampleFE.ExtractionFE

windowSize - Variable in class edu.cmu.minorthird.ui.Recommended.TokenFE

Winnow - Class in edu.cmu.minorthird.classify.algorithms.linear

Created on Sep 21, 2005

Winnow() - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.Winnow

Winnow(boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.Winnow

Constructor: voted="true" (more stable) or "false"(more aggressive)

Winnow(double, double, boolean) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.Winnow

Winnow.MyClassifier - Class in edu.cmu.minorthird.classify.algorithms.linear

Winnow.MyClassifier(Hyperplane, double) - Constructor for class edu.cmu.minorthird.classify.algorithms.linear.Winnow.MyClassifier

wordCharactersPercentage(String) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Returns the percentage characters [\w] in a line

writeToOutputFile(String, StringBuffer) - Static method in class edu.cmu.minorthird.util.LineProcessingUtil

Writes the contents of a String Buffer to an output file

Y

y - Variable in class edu.cmu.minorthird.classify.sequential.Segmentation.Segment

Z

z(double) - Method in class edu.cmu.minorthird.util.MathUtil.Accumulator

The Z statistic.

ZoomedViewer - Class in edu.cmu.minorthird.util.gui

When an object is selected in the zoomedOut view, it's displayed in the zoomedIn view.

ZoomedViewer() - Constructor for class edu.cmu.minorthird.util.gui.ZoomedViewer

ZoomedViewer(Viewer, Viewer) - Constructor for class edu.cmu.minorthird.util.gui.ZoomedViewer

ZoomingTextLabelsViewer - Class in edu.cmu.minorthird.text.gui

View the contents of a bunch of spans, using the util.gui.Viewer framework.

ZoomingTextLabelsViewer(TextLabels) - Constructor for class edu.cmu.minorthird.text.gui.ZoomingTextLabelsViewer

A B C D E F G H I J K L M N O P Q R S T U V W Y Z