com.hankcs.hanlp.model.perceptron.model

Class AveragedPerceptron

java.lang.Object

com.hankcs.hanlp.model.perceptron.model.LinearModel

com.hankcs.hanlp.model.perceptron.model.AveragedPerceptron

All Implemented Interfaces:

ICacheAble

public class AveragedPerceptron
extends LinearModel

平均感知机算法学习的线性模型

Author:

hankcs

Field Summary

Fields inherited from class com.hankcs.hanlp.model.perceptron.model.LinearModel

featureMap, parameter

Constructor Summary

Constructors

Constructor and Description
AveragedPerceptron(FeatureMap featureMap)
AveragedPerceptron(FeatureMap featureMap, float[] parameter)

Method Summary

Modifier and Type	Method and Description
void	average(double[] total, int[] timestamp, int current)
void	update(Collection<Integer> featureVector, float value, double[] total, int[] timestamp, int current) 根据答案和预测更新参数
void	update(int[] goldIndex, int[] predictIndex, double[] total, int[] timestamp, int current) 根据答案和预测更新参数

Methods inherited from class com.hankcs.hanlp.model.perceptron.model.LinearModel

compress, compress, decode, load, load, save, save, save, save, save, score, tagSet, taskType, update, viterbiDecode, viterbiDecode

Methods inherited from class java.lang.Object

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

Constructor Detail

AveragedPerceptron

public AveragedPerceptron(FeatureMap featureMap,
                          float[] parameter)

AveragedPerceptron

public AveragedPerceptron(FeatureMap featureMap)

Method Detail

update

public void update(int[] goldIndex,
                   int[] predictIndex,
                   double[] total,
                   int[] timestamp,
                   int current)

根据答案和预测更新参数

Parameters:

goldIndex - 预测正确的特征函数（非压缩形式）

predictIndex - 命中的特征函数

update

public void update(Collection<Integer> featureVector,
                   float value,
                   double[] total,
                   int[] timestamp,
                   int current)

根据答案和预测更新参数

Parameters:

featureVector - 特征向量

value - 更新量

total - 权值向量总和

timestamp - 每个权值上次更新的时间戳

current - 当前时间戳

average

public void average(double[] total,
                    int[] timestamp,
                    int current)