edu.stanford.nlp.coref.statistical

Class PairwiseModel

java.lang.Object

edu.stanford.nlp.coref.statistical.PairwiseModel

Direct Known Subclasses:

MaxMarginMentionRanker

public class PairwiseModel
extends java.lang.Object

Pairwise mention-classification model.

Author:

Kevin Clark

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PairwiseModel.Builder

Field Summary

Fields

Modifier and Type	Field and Description
protected SimpleLinearClassifier	classifier
protected MetaFeatureExtractor	meta
java.lang.String	name

Constructor Summary

Constructors

Constructor and Description
PairwiseModel(PairwiseModel.Builder builder)

Method Summary

Modifier and Type	Method and Description
SimpleLinearClassifier	getClassifier()
java.lang.String	getDefaultOutputPath()
int	getNumEpochs()
int	getNumTrainingExamples()
void	learn(Example correct, Example incorrect, java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures, Compressor<java.lang.String> compressor, double weight)
void	learn(Example example, java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures, Compressor<java.lang.String> compressor)
void	learn(Example example, java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures, Compressor<java.lang.String> compressor, double weight)
static PairwiseModel.Builder	newBuilder(java.lang.String name, MetaFeatureExtractor meta)
double	predict(Example example, java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures, Compressor<java.lang.String> compressor)
void	writeModel()
void	writeModel(java.lang.String outputPath)

Methods inherited from class java.lang.Object

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

Field Detail

name

public final java.lang.String name

classifier

protected final SimpleLinearClassifier classifier

meta

protected final MetaFeatureExtractor meta

Constructor Detail

PairwiseModel

public PairwiseModel(PairwiseModel.Builder builder)

Method Detail

newBuilder

public static PairwiseModel.Builder newBuilder(java.lang.String name,
                                               MetaFeatureExtractor meta)

getDefaultOutputPath

public java.lang.String getDefaultOutputPath()

getClassifier

public SimpleLinearClassifier getClassifier()

writeModel

public void writeModel()
                throws java.lang.Exception

Throws:

java.lang.Exception

writeModel

public void writeModel(java.lang.String outputPath)
                throws java.lang.Exception

Throws:

java.lang.Exception

learn

public void learn(Example example,
                  java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures,
                  Compressor<java.lang.String> compressor)

learn

public void learn(Example example,
                  java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures,
                  Compressor<java.lang.String> compressor,
                  double weight)

learn

public void learn(Example correct,
                  Example incorrect,
                  java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures,
                  Compressor<java.lang.String> compressor,
                  double weight)

predict

public double predict(Example example,
                      java.util.Map<java.lang.Integer,CompressedFeatureVector> mentionFeatures,
                      Compressor<java.lang.String> compressor)

getNumTrainingExamples

public int getNumTrainingExamples()

getNumEpochs

public int getNumEpochs()