com.hankcs.hanlp.model.hmm

Class FirstOrderHiddenMarkovModel

java.lang.Object

com.hankcs.hanlp.model.hmm.HiddenMarkovModel

com.hankcs.hanlp.model.hmm.FirstOrderHiddenMarkovModel

public class FirstOrderHiddenMarkovModel
extends HiddenMarkovModel

一阶隐马尔可夫模型

Author:

hankcs

Field Summary

Fields inherited from class com.hankcs.hanlp.model.hmm.HiddenMarkovModel

emission_probability, start_probability, transition_probability

Constructor Summary

Constructors

Constructor and Description
FirstOrderHiddenMarkovModel() 创建空白的隐马尔可夫模型以供训练
FirstOrderHiddenMarkovModel(float[] start_probability, float[][] transition_probability, float[][] emission_probability)

Method Summary

Modifier and Type	Method and Description
int[][]	generate(int length) 生成样本序列
float	predict(int[] observation, int[] state) 预测（维特比算法）

Methods inherited from class com.hankcs.hanlp.model.hmm.HiddenMarkovModel

deepCopy, drawFrom, estimateEmissionProbability, estimateStartProbability, estimateTransitionProbability, generate, logToCdf, logToCdf, normalize, predict, similar, similar, toLog, train, unLog

Methods inherited from class java.lang.Object

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

Constructor Detail

FirstOrderHiddenMarkovModel

public FirstOrderHiddenMarkovModel()

创建空白的隐马尔可夫模型以供训练

FirstOrderHiddenMarkovModel

public FirstOrderHiddenMarkovModel(float[] start_probability,
                                   float[][] transition_probability,
                                   float[][] emission_probability)

Method Detail

generate

public int[][] generate(int length)

Description copied from class: HiddenMarkovModel

生成样本序列

Specified by:

generate in class HiddenMarkovModel

Parameters:

length - 序列长度

Returns:

序列

predict

public float predict(int[] observation,
                     int[] state)

Description copied from class: HiddenMarkovModel

预测（维特比算法）

Specified by:

predict in class HiddenMarkovModel

Parameters:

observation - 观测序列

state - 预测状态序列（需预先分配内存）

Returns:

概率的对数，可利用 (float) Math.exp(maxScore) 还原