smile.sequence

Class CRF.Trainer

java.lang.Object

smile.sequence.CRF.Trainer

Enclosing class:

CRF

public static class CRF.Trainer
extends Object

Trainer for CRF.

Constructor Summary

Constructors

Constructor and Description
CRF.Trainer(Attribute[] attributes, int numClasses) Constructor.
CRF.Trainer(int numFeatures, int numClasses) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	setLearningRate(double eta)
void	setMaximumLeafNodes(int maxLeaves) Sets the maximum number of leaf nodes in the tree.
void	setNumIterations(int iters)
CRF	train(double[][][] sequences, int[][] labels)
CRF	train(int[][][] sequences, int[][] labels)

Methods inherited from class java.lang.Object

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

Constructor Detail

CRF.Trainer

public CRF.Trainer(Attribute[] attributes,
           int numClasses)

Constructor.

Parameters:

numClasses - the maximum number of classes.

CRF.Trainer

public CRF.Trainer(int numFeatures,
           int numClasses)

Constructor.

Parameters:

numFeature - the number of sparse binary features.

numClasses - the maximum number of classes.

Method Detail

setMaximumLeafNodes

public void setMaximumLeafNodes(int maxLeaves)

Sets the maximum number of leaf nodes in the tree.

Parameters:

maxLeaves - the maximum number of leaf nodes in the tree.

setLearningRate

public void setLearningRate(double eta)

setNumIterations

public void setNumIterations(int iters)

train

public CRF train(double[][][] sequences,
        int[][] labels)

train

public CRF train(int[][][] sequences,
        int[][] labels)