Uses of Class
cc.mallet.fst.TransducerEvaluator

Packages that use TransducerEvaluator
cc.mallet.fst Transducers, including Conditional Random Fields (CRFs). 
cc.mallet.fst.semi_supervised.tui   
 

Uses of TransducerEvaluator in cc.mallet.fst
 

Subclasses of TransducerEvaluator in cc.mallet.fst
 class CRFWriter
          Saves a trained model to specified filename.
 class InstanceAccuracyEvaluator
          Reports the percentage of instances for which the entire predicted sequence was correct.
 class LabelDistributionEvaluator
          Prints predicted and true label distribution.
 class MultiSegmentationEvaluator
          Evaluates a transducer model, computes the precision, recall and F1 scores; considers segments that span across multiple tokens.
 class PerClassAccuracyEvaluator
          Determines the precision, recall and F1 on a per-class basis.
 class SegmentationEvaluator
           
 class TokenAccuracyEvaluator
          Evaluates a transducer model based on predictions of individual tokens.
 class ViterbiWriter
          Prints the input instances along with the features and the true and predicted labels to a file.
 

Methods in cc.mallet.fst with parameters of type TransducerEvaluator
 TransducerTrainer TransducerTrainer.addEvaluator(TransducerEvaluator te)
           
 void CRF.evaluate(TransducerEvaluator eval, InstanceList testing)
          Deprecated. 
 TransducerTrainer TransducerTrainer.removeEvaluator(TransducerEvaluator te)
           
static void SimpleTagger.test(TransducerTrainer tt, TransducerEvaluator eval, InstanceList testing)
          Test a transducer on the given test data, evaluating accuracy with the given evaluator
 boolean HMM.train(InstanceList ilist, InstanceList validation, InstanceList testing, TransducerEvaluator eval)
           
 boolean MEMMTrainer.train(InstanceList training, InstanceList validation, InstanceList testing, TransducerEvaluator eval, int numIterations, int numIterationsPerProportion, double[] trainingProportions)
          Not implemented yet.
static CRF SimpleTagger.train(InstanceList training, InstanceList testing, TransducerEvaluator eval, int[] orders, java.lang.String defaultLabel, java.lang.String forbidden, java.lang.String allowed, boolean connected, int iterations, double var, CRF crf)
          Create and train a CRF model from the given training data, optionally testing it on the given test data.
 boolean CRFTrainerByLabelLikelihood.trainWithFeatureInduction(InstanceList trainingData, InstanceList validationData, InstanceList testingData, TransducerEvaluator eval, int numIterations, int numIterationsBetweenFeatureInductions, int numFeatureInductions, int numFeaturesPerFeatureInduction, double trueLabelProbThreshold, boolean clusteredFeatureInduction, double[] trainingProportions)
           
 boolean MEMMTrainer.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)
          Not implemented yet.
 boolean CRFTrainerByLabelLikelihood.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)
          Train a CRF using feature induction to generate conjunctions of features.
 

Method parameters in cc.mallet.fst with type arguments of type TransducerEvaluator
 TransducerTrainer TransducerTrainer.addEvaluators(java.util.Collection<TransducerEvaluator> tes)
           
 

Uses of TransducerEvaluator in cc.mallet.fst.semi_supervised.tui
 

Methods in cc.mallet.fst.semi_supervised.tui with parameters of type TransducerEvaluator
static void SimpleTaggerWithConstraints.test(TransducerTrainer tt, TransducerEvaluator eval, InstanceList testing)
          Test a transducer on the given test data, evaluating accuracy with the given evaluator
static CRF SimpleTaggerWithConstraints.trainGE(InstanceList training, InstanceList testing, java.util.ArrayList<GEConstraint> constraints, CRF crf, TransducerEvaluator eval, int iterations, double var, int resets)
          Create and train a CRF model from the given training data, optionally testing it on the given test data.
static CRF SimpleTaggerWithConstraints.trainPR(InstanceList training, InstanceList testing, java.util.ArrayList<PRConstraint> constraints, CRF crf, TransducerEvaluator eval, int iterations, double var)
          Create and train a CRF model from the given training data, optionally testing it on the given test data.