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Uses of Class
cc.mallet.grmm.learning.ACRF

Packages that use ACRF
cc.mallet.grmm.learning   
cc.mallet.grmm.learning.extract   
 

Uses of ACRF in cc.mallet.grmm.learning
 

Methods in cc.mallet.grmm.learning that return ACRF
static ACRF ACRF.makeFactorial(Pipe p, int numLevels)
           
 

Methods in cc.mallet.grmm.learning with parameters of type ACRF
protected  boolean DefaultAcrfTrainer.callEvaluator(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, int iter, ACRFEvaluator eval)
           
 Optimizable.ByGradientValue PwplACRFTrainer.createOptimizable(ACRF acrf, InstanceList training)
           
 Optimizable.ByGradientValue PseudolikelihoodACRFTrainer.createOptimizable(ACRF acrf, InstanceList training)
           
 Optimizable.ByGradientValue PiecewiseACRFTrainer.createOptimizable(ACRF acrf, InstanceList training)
           
protected  Optimizable.ByGradientValue DefaultAcrfTrainer.createOptimizable(ACRF acrf, InstanceList trainingList)
           
 boolean MultiSegmentationEvaluatorACRF.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)
           
 boolean DefaultAcrfTrainer.LogEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)
           
 boolean DefaultAcrfTrainer.FileEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)
           
 boolean AcrfSerialEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)
           
abstract  boolean ACRFEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)
          Evalutes the model in the middle of training.
 boolean DefaultAcrfTrainer.incrementalTrain(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter)
           
 boolean DefaultAcrfTrainer.incrementalTrain(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)
           
static void PwplACRFTrainer.reportTrainingLikelihood(ACRF acrf, InstanceList trainingList)
           
 boolean DefaultAcrfTrainer.someUnsupportedTrain(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter)
           
 void DefaultAcrfTrainer.test(ACRF acrf, InstanceList testing, ACRFEvaluator eval)
           
 void DefaultAcrfTrainer.test(ACRF acrf, InstanceList testing, ACRFEvaluator[] evals)
           
 void ACRFEvaluator.test(ACRF acrf, InstanceList data, java.lang.String description)
           
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList training)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training)
           
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, ACRFEvaluator eval, int numIter)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training, ACRFEvaluator eval, int numIter)
           
 void DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, double[] proportions, int iterPerProportion)
           
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter)
           
 boolean PwplACRFTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
           
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)
           
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)
           
 boolean DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, int numIter)
           
 boolean ACRFTrainer.train(ACRF acrf, InstanceList training, int numIter)
           
 

Constructors in cc.mallet.grmm.learning with parameters of type ACRF
PiecewiseACRFTrainer.Maxable(ACRF acrf, InstanceList ilist)
           
PseudolikelihoodACRFTrainer.Maxable(ACRF acrf, InstanceList ilist)
           
PwplACRFTrainer.Maxable(ACRF acrf, InstanceList ilist)
           
 

Uses of ACRF in cc.mallet.grmm.learning.extract
 

Methods in cc.mallet.grmm.learning.extract that return ACRF
 ACRF ACRFExtractor.getAcrf()
           
 ACRF ACRFExtractorTrainer.trainAcrf()
          Trains a new ACRF object with the given settings.
 

Constructors in cc.mallet.grmm.learning.extract with parameters of type ACRF
ACRFExtractor(ACRF acrf, Pipe tokPipe, Pipe featurePipe)
           
 

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