com.hankcs.hanlp.dependency.perceptron.learning

Class AveragedPerceptron

java.lang.Object

com.hankcs.hanlp.dependency.perceptron.learning.AveragedPerceptron

public class AveragedPerceptron
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
int	dependencySize
int	iteration
HashMap<Object,CompactArray>[]	leftArcFeatureAveragedWeights
HashMap<Object,CompactArray>[]	leftArcFeatureWeights
HashMap<Object,Float>[]	reduceFeatureAveragedWeights
HashMap<Object,Float>[]	reduceFeatureWeights
HashMap<Object,CompactArray>[]	rightArcFeatureAveragedWeights
HashMap<Object,CompactArray>[]	rightArcFeatureWeights
HashMap<Object,Float>[]	shiftFeatureAveragedWeights This is the main part of the extension to the original perceptron algorithm which the averaging over all the history
HashMap<Object,Float>[]	shiftFeatureWeights For the weights for all features

Constructor Summary

Constructors

Constructor and Description
AveragedPerceptron(int featSize, int dependencySize)
AveragedPerceptron(ParserModel parserModel)

Method Summary

Modifier and Type	Method and Description
void	changeFeatureWeight(HashMap<Object,CompactArray> map, HashMap<Object,CompactArray> aMap, Object featureName, int labelIndex, float change, int size)
float	changeWeight(Action actionType, int slotNum, Object featureName, int labelIndex, float change)
int	effectiveLaSize()
int	effectiveRaSize()
int	featureSize()
void	incrementIteration() Adds to the iterations
int	laSize()
float[]	leftArcScores(Object[] features, boolean decode)
int	raSize()
float	reduceScore(Object[] features, boolean decode)
float[]	rightArcScores(Object[] features, boolean decode)
float	shiftScore(Object[] features, boolean decode)

Methods inherited from class java.lang.Object

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

Field Detail

shiftFeatureWeights

public HashMap<Object,Float>[] shiftFeatureWeights

For the weights for all features

reduceFeatureWeights

public HashMap<Object,Float>[] reduceFeatureWeights

leftArcFeatureWeights

public HashMap<Object,CompactArray>[] leftArcFeatureWeights

rightArcFeatureWeights

public HashMap<Object,CompactArray>[] rightArcFeatureWeights

iteration

public int iteration

dependencySize

public int dependencySize

shiftFeatureAveragedWeights

public HashMap<Object,Float>[] shiftFeatureAveragedWeights

This is the main part of the extension to the original perceptron algorithm which the averaging over all the history

reduceFeatureAveragedWeights

public HashMap<Object,Float>[] reduceFeatureAveragedWeights

leftArcFeatureAveragedWeights

public HashMap<Object,CompactArray>[] leftArcFeatureAveragedWeights

rightArcFeatureAveragedWeights

public HashMap<Object,CompactArray>[] rightArcFeatureAveragedWeights

Constructor Detail

AveragedPerceptron

public AveragedPerceptron(int featSize,
                          int dependencySize)

AveragedPerceptron

public AveragedPerceptron(ParserModel parserModel)

Method Detail

changeWeight

public float changeWeight(Action actionType,
                          int slotNum,
                          Object featureName,
                          int labelIndex,
                          float change)

changeFeatureWeight

public void changeFeatureWeight(HashMap<Object,CompactArray> map,
                                HashMap<Object,CompactArray> aMap,
                                Object featureName,
                                int labelIndex,
                                float change,
                                int size)

incrementIteration

public void incrementIteration()

Adds to the iterations

shiftScore

public float shiftScore(Object[] features,
                        boolean decode)

reduceScore

public float reduceScore(Object[] features,
                         boolean decode)

leftArcScores

public float[] leftArcScores(Object[] features,
                             boolean decode)

rightArcScores

public float[] rightArcScores(Object[] features,
                              boolean decode)

featureSize

public int featureSize()

raSize

public int raSize()

effectiveRaSize

public int effectiveRaSize()

laSize

public int laSize()

effectiveLaSize

public int effectiveLaSize()