edu.cmu.minorthird.ui
Class CommandLineUtil

java.lang.Object
  edu.cmu.minorthird.ui.CommandLineUtil

public class CommandLineUtil
extends java.lang.Object

Minorthird-specific utilities for command line based interface routines.

Author:

William Cohen

Nested Class Summary

static class	CommandLineUtil.AnnotatorOutputParams
static class	CommandLineUtil.BaseParams Basic parameters used by almost everything.
static class	CommandLineUtil.ClassificationSignalParams Parameters encoding the 'training signal' for classification learning.
static class	CommandLineUtil.EditParams Parameters used by all 'train' routines.
static class	CommandLineUtil.ExtractionSignalParams Parameters encoding the 'training signal' for extraction learning.
static class	CommandLineUtil.GUIParams Basic parameters used by everything with a gui.
static class	CommandLineUtil.LoadAnnotatorParams Parameters for testing a stored classifier.
static class	CommandLineUtil.MixupParams
static class	CommandLineUtil.MultiClassificationSignalParams Parameters encoding the 'training signal' for extraction learning.
static class	CommandLineUtil.OnlineBaseParams Basic parameters used by almost everything.
static class	CommandLineUtil.OnlineLearnerParams Parameters for Adding Examples to a Online Classifier
static class	CommandLineUtil.OnlineSignalParams Parameters encoding the 'training signal' for extraction learning.
static class	CommandLineUtil.SaveParams Parameters used by all 'train' routines.
static class	CommandLineUtil.SplitterParams Parameters for doing train/test evaluation of a classifier.
static class	CommandLineUtil.TaggerSignalParams Parameters encoding the 'training signal' for learning a token-tagger.
static class	CommandLineUtil.TestClassifierParams Parameters for testing a stored classifier.
static class	CommandLineUtil.TestExtractorParams Parameters for testing a stored classifier.
static class	CommandLineUtil.TrainClassifierParams Parameters for training a classifier.
static class	CommandLineUtil.TrainExtractorParams Parameters for training an extractor.
static class	CommandLineUtil.TrainTaggerParams Parameters for training an extractor.
static class	CommandLineUtil.ViewLabelsParams

Constructor Summary

CommandLineUtil()

Method Summary

static java.lang.String	createSpanProp(java.lang.String spanTypes, MonotonicTextLabels labels) Creates a Mixup program that defines a SpanProp from a list of Span Types
static java.lang.Object	newObjectFromBSH(java.lang.String s, java.lang.Class<?> expectedType) Create a new object from a fragment of bean shell code, and make sure it's the correct type.
protected static void	safeSetRequiredAnnotation(SpanFeatureExtractor fe, java.lang.String s)
static Dataset	toDataset(TextLabels textLabels, SpanFeatureExtractor fe, java.lang.String spanProp, java.lang.String spanType) Build a classification dataset from the necessary inputs.
static Dataset	toDataset(TextLabels textLabels, SpanFeatureExtractor fe, java.lang.String spanProp, java.lang.String spanType, java.lang.String candidateType) Build a classification dataset from the necessary inputs.
static MultiDataset	toMultiDataset(MonotonicTextLabels textLabels, SpanFeatureExtractor fe, java.lang.String[] multiSpanProp) Build a classification dataset from the necessary inputs.
static Dataset	toSeqDataset(TextLabels textLabels, SpanFeatureExtractor fe, java.lang.String spanProp, java.lang.String spanType) Build a classification dataset from the necessary inputs.
static SequenceDataset	toSequenceDataset(TextLabels labels, SpanFeatureExtractor fe, int historySize, java.lang.String tokenProp) Build a sequential classification dataset from the necessary inputs.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CommandLineUtil

public CommandLineUtil()

Method Detail

safeSetRequiredAnnotation

protected static void safeSetRequiredAnnotation(SpanFeatureExtractor fe,
                                                java.lang.String s)

toSequenceDataset

public static SequenceDataset toSequenceDataset(TextLabels labels,
                                                SpanFeatureExtractor fe,
                                                int historySize,
                                                java.lang.String tokenProp)

Build a sequential classification dataset from the necessary inputs.

toDataset

public static Dataset toDataset(TextLabels textLabels,
                                SpanFeatureExtractor fe,
                                java.lang.String spanProp,
                                java.lang.String spanType)

Build a classification dataset from the necessary inputs.

toSeqDataset

public static Dataset toSeqDataset(TextLabels textLabels,
                                   SpanFeatureExtractor fe,
                                   java.lang.String spanProp,
                                   java.lang.String spanType)

Build a classification dataset from the necessary inputs.

toDataset

public static Dataset toDataset(TextLabels textLabels,
                                SpanFeatureExtractor fe,
                                java.lang.String spanProp,
                                java.lang.String spanType,
                                java.lang.String candidateType)

Build a classification dataset from the necessary inputs.

toMultiDataset

public static MultiDataset toMultiDataset(MonotonicTextLabels textLabels,
                                          SpanFeatureExtractor fe,
                                          java.lang.String[] multiSpanProp)

Build a classification dataset from the necessary inputs.

newObjectFromBSH

public static java.lang.Object newObjectFromBSH(java.lang.String s,
                                                java.lang.Class<?> expectedType)

Create a new object from a fragment of bean shell code, and make sure it's the correct type.

createSpanProp

public static java.lang.String createSpanProp(java.lang.String spanTypes,
                                              MonotonicTextLabels labels)

Creates a Mixup program that defines a SpanProp from a list of Span Types