|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object edu.cmu.minorthird.ui.Recommended
public class Recommended
In Minorthird it is possible to build up constructs like learners, feature extractors, and so on compositionally, out of simpler pieces. This class contains pre-configured "recommended" instances of some common learners, feature extractors, etc.
Nested Class Summary | |
---|---|
static class |
Recommended.BoostedDecisionTreeLearner
Uses AdaBoost to boosts the default decision tree learner 10 times. |
static class |
Recommended.BoostedStumpLearner
Uses AdaBoost to boosts a two-level decision tree learner 100 times. |
static class |
Recommended.CascadingBinaryLearner
|
static class |
Recommended.CRFAnnotatorLearner
Implements the CRF algorithm. |
static class |
Recommended.DecisionTreeLearner
A simple decision tree learner. |
static class |
Recommended.DocumentFE
A simple bag-of-words feature extractor. |
static class |
Recommended.HMMAnnotatorLearner
a hidden Markov model (HMM), by zkou |
static class |
Recommended.HMMTokenFE
|
static class |
Recommended.KnnLearner
K-NN learner following Yang and Chute. |
static class |
Recommended.MaxEntLearner
A maximum entropy learner. |
static class |
Recommended.MEMMLearner
Uses logistic regression/Maximum entropy to learn a condition Markov model (CMM), aka "maxent Markov model" (MEMM). |
static class |
Recommended.MostFrequentFirstLearner
|
static class |
Recommended.MultitokenSpanFE
An extraction-oriented feature extractor to apply to multi-token spans. |
static class |
Recommended.NaiveBayes
Multinomial Naive Bayes, as in McCallum's Rainbow package. |
static class |
Recommended.OneVsAllLearner
|
static class |
Recommended.SemiCRFAnnotatorLearner
Learns a semi-Markovian extension of CRFs. |
static class |
Recommended.SVMCMMLearner
Uses probabilistic SVM to learn a condition Markov model (CMM). |
static class |
Recommended.SVMLearner
A simple SVM learner with a linear kernel. |
static class |
Recommended.TokenFE
An extraction-oriented feature extractor, which should be applied to one-token spans. |
static class |
Recommended.TokenPropUsingFE
A simple bag-of-words feature extractor, with words being put in lower case. |
static class |
Recommended.TweakedLearner
A Tweaked Learner, with an optimization of the precision vs. |
static class |
Recommended.VotedPerceptronLearner
Voted perceptron learning following Freund & Schapire. |
static class |
Recommended.VPCMMLearner
Uses the voted perceptron algorithm to learn a "conditional Markov model" (CMM). |
static class |
Recommended.VPHMMLearner
Uses the voted perceptron algorithm to learn a parameters of a hidden Markov model (HMM). |
static class |
Recommended.VPSMMLearner
Uses the voted perceptron algorithm to learn the parameters for a hidden semi-Markov model (SMM). |
static class |
Recommended.VPSMMLearner2
Uses the voted perceptron algorithm to learn the parameters for a hidden semi-Markov model (SMM). |
static class |
Recommended.VPTagLearner
|
Constructor Summary | |
---|---|
Recommended()
|
Method Summary |
---|
Methods inherited from class java.lang.Object |
---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
---|
public Recommended()
|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |