dragon.ml.seqmodel.crf

Class LBFGSSegmentTrainer

java.lang.Object

dragon.ml.seqmodel.crf.AbstractCRF

dragon.ml.seqmodel.crf.AbstractTrainer

dragon.ml.seqmodel.crf.LBFGSBasicTrainer

dragon.ml.seqmodel.crf.LBFGSSegmentTrainer

All Implemented Interfaces:

Trainer

public class LBFGSSegmentTrainer
extends LBFGSBasicTrainer

LBFGS segment trainer

Copyright: Copyright (c) 2005

Company: IST, Drexel University

Version:

1.0

Author:

Davis Zhou

Field Summary

Fields inherited from class dragon.ml.seqmodel.crf.LBFGSBasicTrainer

epsForConvergence, invSigmaSquare, mForHessian

Fields inherited from class dragon.ml.seqmodel.crf.AbstractTrainer

doScaling, maxIteration, xtol

Fields inherited from class dragon.ml.seqmodel.crf.AbstractCRF

edgeGen, featureGenerator, lambda, model

Constructor Summary

Constructors

Constructor and Description
LBFGSSegmentTrainer(ModelGraph model, FeatureGenerator featureGenerator, int maxSegmentLength)

Method Summary

Modifier and Type	Method and Description
protected double	computeFunctionGradient(Dataset diter, double[] lambda, double[] grad)
protected double	computeFunctionGradientLL(Dataset diter, double[] lambda, double[] grad)

Methods inherited from class dragon.ml.seqmodel.crf.LBFGSBasicTrainer

norm, setAccuracy, setGradientHistory, setInvSigmaSquare, train

Methods inherited from class dragon.ml.seqmodel.crf.AbstractTrainer

genStateVector, genStateVectorLog, getMaxIteration, needScaling, setMaxIteration, setScalingOption

Methods inherited from class dragon.ml.seqmodel.crf.AbstractCRF

computeTransMatrix, computeTransMatrix, getFeatureGenerator, getModelGraph, getModelParameter, readModelParameter, saveModelParameter

Methods inherited from class java.lang.Object

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

Methods inherited from interface dragon.ml.seqmodel.crf.Trainer

getFeatureGenerator, getModelGraph, getModelParameter, saveModelParameter

Constructor Detail

LBFGSSegmentTrainer

public LBFGSSegmentTrainer(ModelGraph model,
                           FeatureGenerator featureGenerator,
                           int maxSegmentLength)

Method Detail

computeFunctionGradient

protected double computeFunctionGradient(Dataset diter,
                                         double[] lambda,
                                         double[] grad)

Overrides:

computeFunctionGradient in class LBFGSBasicTrainer

computeFunctionGradientLL

protected double computeFunctionGradientLL(Dataset diter,
                                           double[] lambda,
                                           double[] grad)