edu.umass.cs.mallet.base.fst

Class CRF_PL

java.lang.Object

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

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

edu.umass.cs.mallet.base.fst.CRF_PL

All Implemented Interfaces:

Serializable

public class CRF_PL
extends CRF4
implements Serializable

A CRF trained by pseudolikelihood. zt test time, the standard, globally-normalized model as used, as in the clssical work on pseudolikelihood.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	CRF_PL.MaximizableCRF_PL
static class	CRF_PL.State
protected class	CRF_PL.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

Modifier and Type	Field and Description
boolean	dumpProbabilities

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
CRF_PL(CRF4 crf)

Method Summary

Modifier and Type	Method and Description
void	gatherTrainingSets(InstanceList training)
CRF4.MaximizableCRF	getMaximizableCRF(InstanceList ilist)
void	initializeTrainingFor(InstanceList training)
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

Field Detail

dumpProbabilities

public boolean dumpProbabilities

Constructor Detail

CRF_PL

public CRF_PL(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

initializeTrainingFor

public void initializeTrainingFor(InstanceList training)

gatherTrainingSets

public void gatherTrainingSets(InstanceList training)

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()