cc.mallet.fst
Class MEMMTrainer.MEMMOptimizableByLabelLikelihood

java.lang.Object
  cc.mallet.fst.CRFOptimizableByLabelLikelihood
      cc.mallet.fst.MEMMTrainer.MEMMOptimizableByLabelLikelihood

All Implemented Interfaces:

Optimizable, Optimizable.ByGradientValue, java.io.Serializable

Enclosing class:

MEMMTrainer

public class MEMMTrainer.MEMMOptimizableByLabelLikelihood
extends CRFOptimizableByLabelLikelihood
implements Optimizable.ByGradientValue

Represents the terms in the objective function.

The weights are trained by matching the expectations of the model to the observations gathered from the data.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class cc.mallet.fst.CRFOptimizableByLabelLikelihood

CRFOptimizableByLabelLikelihood.Factory

Nested classes/interfaces inherited from interface cc.mallet.optimize.Optimizable

Optimizable.ByBatchGradient, Optimizable.ByCombiningBatchGradient, Optimizable.ByGISUpdate, Optimizable.ByGradient, Optimizable.ByGradientValue, Optimizable.ByHessian, Optimizable.ByValue, Optimizable.ByVotedPerceptron

Field Summary

Fields inherited from class cc.mallet.fst.CRFOptimizableByLabelLikelihood

cachedGradient, cachedValue, constraints, crf, expectations, trainingSet

Constructor Summary

protected

MEMMTrainer.MEMMOptimizableByLabelLikelihood(MEMM memm, InstanceList trainingData)

Method Summary

protected double	gatherExpectationsOrConstraints(boolean gatherConstraints)
protected double	getExpectationValue()

Methods inherited from class cc.mallet.fst.CRFOptimizableByLabelLikelihood

gatherConstraints, getGaussianPriorVariance, getNumParameters, getParameter, getParameters, getUseHyperbolicPriorSharpness, getUseHyperbolicPriorSlope, getValue, getValueGradient, setGaussianPriorVariance, setHyperbolicPriorSharpness, setHyperbolicPriorSlope, setParameter, setParameters, setUseHyperbolicPrior

Methods inherited from class java.lang.Object

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

Methods inherited from interface cc.mallet.optimize.Optimizable.ByGradientValue

getValue, getValueGradient

Methods inherited from interface cc.mallet.optimize.Optimizable

getNumParameters, getParameter, getParameters, setParameter, setParameters

Constructor Detail

MEMMTrainer.MEMMOptimizableByLabelLikelihood

protected MEMMTrainer.MEMMOptimizableByLabelLikelihood(MEMM memm,
                                                       InstanceList trainingData)

Method Detail

gatherExpectationsOrConstraints

protected double gatherExpectationsOrConstraints(boolean gatherConstraints)

getExpectationValue

protected double getExpectationValue()

Overrides:

getExpectationValue in class CRFOptimizableByLabelLikelihood