edu.umass.cs.mallet.base.fst

Class MEMM

java.lang.Object

edu.umass.cs.mallet.base.fst.Transducer

edu.umass.cs.mallet.base.fst.CRF4

edu.umass.cs.mallet.base.fst.MEMM

All Implemented Interfaces:

Serializable

public class MEMM
extends CRF4
implements Serializable

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	MEMM.MaximizableMEMM
static class	MEMM.State
protected static class	MEMM.TransitionIterator

Nested classes/interfaces inherited from class edu.umass.cs.mallet.base.fst.CRF4

CRF4.MaximizableCRF

Nested classes/interfaces inherited from class edu.umass.cs.mallet.base.fst.Transducer

Transducer.BeamLattice, Transducer.Lattice, Transducer.ViterbiLattice, Transducer.ViterbiPath, Transducer.ViterbiPath_NBest, Transducer.ViterbiPathBeam, Transducer.ViterbiPathBeamB, Transducer.ViterbiPathBeamFB, Transducer.ViterbiPathBeamKL

Field Summary

Fields inherited from class edu.umass.cs.mallet.base.fst.CRF4

printGradient, someTrainingDone, VITERBI, VITERBI_BBEAM, VITERBI_FBBEAM, VITERBI_FBEAM, VITERBI_FBEAMKL

Fields inherited from class edu.umass.cs.mallet.base.fst.Transducer

INFINITE_COST, inputPipe, outputPipe, ZERO_COST

Constructor Summary

Constructors

Constructor and Description
MEMM(Alphabet inputAlphabet, Alphabet outputAlphabet)
MEMM(CRF4 crf)
MEMM(Pipe inputPipe, Pipe outputPipe)

Method Summary

Modifier and Type	Method and Description
CRF4.MaximizableCRF	getMaximizableCRF(InstanceList ilist)
protected CRF4.State	newState(String name, int index, double initialCost, double finalCost, String[] destinationNames, String[] labelNames, String[][] weightNames, CRF4 crf)
void	printInstanceLists()
boolean	train(InstanceList training, InstanceList validation, InstanceList testing, TransducerEvaluator eval, int numIterations)
boolean	train(InstanceList training, InstanceList validation, InstanceList testing, TransducerEvaluator eval, int numIterations, int numIterationsPerProportion, double[] trainingProportions)
boolean	trainWithFeatureInduction(InstanceList trainingData, InstanceList validationData, InstanceList testingData, TransducerEvaluator eval, int numIterations, int numIterationsBetweenFeatureInductions, int numFeatureInductions, int numFeaturesPerFeatureInduction, double trueLabelProbThreshold, boolean clusteredFeatureInduction, double[] trainingProportions, String gainName)

Methods inherited from class edu.umass.cs.mallet.base.fst.CRF4

addFullyConnectedStates, addFullyConnectedStatesForBiLabels, addFullyConnectedStatesForLabels, addFullyConnectedStatesForThreeQuarterLabels, addFullyConnectedStatesForTriLabels, addOrderNStates, addSelfTransitioningStateForAllLabels, addStartState, addStartState, addState, addState, addState, addState, addStatesForBiLabelsConnectedAsIn, addStatesForHalfLabelsConnectedAsIn, addStatesForLabelsConnectedAsIn, addStatesForThreeQuarterLabelsConnectedAsIn, estimate, evaluate, freezeWeights, freezeWeights, getDefaultWeights, getGaussianPriorVariance, getInputAlphabet, getOutputAlphabet, getParameter, getParametersAbsNorm, getState, getState, getTransductionType, getUseHyperbolicPriorSharpness, getUseHyperbolicPriorSlope, getUseSparseWeights, getWeights, getWeights, getWeights, getWeightsIndex, getWeightsName, initialStateIterator, isTrainable, numStates, predict, print, print, reset, setAsStartState, setDefaultWeight, setDefaultWeights, setFeatureSelection, setGaussianPriorVariance, setHyperbolicPriorSharpness, setHyperbolicPriorSlope, setParameter, setTrainable, setTransductionType, setUseHyperbolicPrior, setUseSomeUnsupportedTrick, setUseSparseWeights, setWeights, setWeights, setWeights, setWeightsDimensionAsIn, setWeightsDimensionDensely, train, train, train, trainWithFeatureInduction, transduce, transduce, unfreezeWeights, viterbiPath, write

Methods inherited from class edu.umass.cs.mallet.base.fst.Transducer

averageTokenAccuracy, averageTokenAccuracy, canIterateAllTransitions, forwardBackward, forwardBackward, forwardBackward, forwardBackward, forwardBackward, forwardBackward, forwardBackward, forwardBackward, forwardBackwardBeam, forwardBackwardBeam, forwardBackwardBeam, forwardBackwardBeam, forwardBackwardBeam, forwardBackwardBeam, forwardBackwardBeam, forwardBackwardBeam, generatePath, getBeamWidth, getInputPipe, getNstatesExpl, getOutputPipe, getViterbiLattice, incIter, isGenerative, pipe, setBeamWidth, setCurIter, setKLeps, setRmin, setUseForwardBackwardBeam, stateIndexOfString, sumNegLogProb, viterbiPath_NBest, viterbiPath_NBest, viterbiPath, viterbiPath, viterbiPath, viterbiPathBeam, viterbiPathBeam, viterbiPathBeam, viterbiPathBeamB, viterbiPathBeamB, viterbiPathBeamB, viterbiPathBeamB, viterbiPathBeamFB, viterbiPathBeamFB, viterbiPathBeamFB, viterbiPathBeamFB, viterbiPathBeamKL, viterbiPathBeamKL, viterbiPathBeamKL

Methods inherited from class java.lang.Object

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

Constructor Detail

MEMM

public MEMM(Pipe inputPipe,
            Pipe outputPipe)

MEMM

public MEMM(Alphabet inputAlphabet,
            Alphabet outputAlphabet)

MEMM

public MEMM(CRF4 crf)

Method Detail

newState

protected CRF4.State newState(String name,
                              int index,
                              double initialCost,
                              double finalCost,
                              String[] destinationNames,
                              String[] labelNames,
                              String[][] weightNames,
                              CRF4 crf)

Overrides:

newState in class CRF4

train

public boolean train(InstanceList training,
                     InstanceList validation,
                     InstanceList testing,
                     TransducerEvaluator eval,
                     int numIterations)

Overrides:

train in class CRF4

train

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

Overrides:

train in class CRF4

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,
                                         String gainName)

Overrides:

trainWithFeatureInduction in class CRF4

getMaximizableCRF

public CRF4.MaximizableCRF getMaximizableCRF(InstanceList ilist)

Overrides:

getMaximizableCRF in class CRF4

printInstanceLists

public void printInstanceLists()