cc.mallet.fst
Class MEMMTrainer

java.lang.Object
  cc.mallet.fst.TransducerTrainer
      cc.mallet.fst.MEMMTrainer

public class MEMMTrainer
extends TransducerTrainer

Nested Class Summary

class

MEMMTrainer.MEMMOptimizableByLabelLikelihood

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

TransducerTrainer.ByIncrements, TransducerTrainer.ByInstanceIncrements, TransducerTrainer.ByOptimization

Constructor Summary

MEMMTrainer(MEMM memm)

Method Summary

int	getIteration()
MEMMTrainer.MEMMOptimizableByLabelLikelihood	getOptimizableMEMM(InstanceList trainingSet)
Transducer	getTransducer()
boolean	isFinishedTraining()
void	printInstanceLists()
boolean	train(InstanceList training)
boolean	train(InstanceList training, InstanceList validation, InstanceList testing, TransducerEvaluator eval, int numIterations, int numIterationsPerProportion, double[] trainingProportions)
boolean	train(InstanceList training, int numIterations) Train the transducer associated with this TransducerTrainer.
boolean	trainWithFeatureInduction(InstanceList trainingData, InstanceList validationData, InstanceList testingData, TransducerEvaluator eval, int numIterations, int numIterationsBetweenFeatureInductions, int numFeatureInductions, int numFeaturesPerFeatureInduction, double trueLabelProbThreshold, boolean clusteredFeatureInduction, double[] trainingProportions, java.lang.String gainName)

Methods inherited from class cc.mallet.fst.TransducerTrainer

addEvaluator, addEvaluators, removeEvaluator, runEvaluators

Methods inherited from class java.lang.Object

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

Constructor Detail

MEMMTrainer

public MEMMTrainer(MEMM memm)

Method Detail

getOptimizableMEMM

public MEMMTrainer.MEMMOptimizableByLabelLikelihood getOptimizableMEMM(InstanceList trainingSet)

train

public boolean train(InstanceList training)

Overrides:

train in class TransducerTrainer

train

public boolean train(InstanceList training,
                     int numIterations)

Description copied from class: TransducerTrainer

Train the transducer associated with this TransducerTrainer. You should be able to call this method with different trainingSet objects. Whether this causes the TransducerTrainer to combine both trainingSets or to view the second as a new alternative is at the discretion of the particular TransducerTrainer subclass involved.

Specified by:

train in class TransducerTrainer

train

public boolean train(InstanceList training,
                     InstanceList validation,
                     InstanceList testing,
                     TransducerEvaluator eval,
                     int numIterations,
                     int numIterationsPerProportion,
                     double[] trainingProportions)

trainWithFeatureInduction

public boolean trainWithFeatureInduction(InstanceList trainingData,
                                         InstanceList validationData,
                                         InstanceList testingData,
                                         TransducerEvaluator eval,
                                         int numIterations,
                                         int numIterationsBetweenFeatureInductions,
                                         int numFeatureInductions,
                                         int numFeaturesPerFeatureInduction,
                                         double trueLabelProbThreshold,
                                         boolean clusteredFeatureInduction,
                                         double[] trainingProportions,
                                         java.lang.String gainName)

printInstanceLists

public void printInstanceLists()

getIteration

public int getIteration()

Specified by:

getIteration in class TransducerTrainer

getTransducer

public Transducer getTransducer()

Specified by:

getTransducer in class TransducerTrainer

isFinishedTraining

public boolean isFinishedTraining()

Specified by:

isFinishedTraining in class TransducerTrainer