edu.umass.cs.mallet.projects.seg_plus_coref.condclust.cluster

Class ConditionalClustererTrainer

java.lang.Object

edu.umass.cs.mallet.projects.seg_plus_coref.condclust.cluster.ConditionalClustererTrainer

public class ConditionalClustererTrainer
extends Object

Trains the conditional clusterer to predict "yes" or "no" for a NodeClusterPair; i.e. does this nodes belong in this cluster?

Constructor Summary

Constructors

Constructor and Description
ConditionalClustererTrainer(Pipe _p)
ConditionalClustererTrainer(Pipe _p, ClassifierTrainer _classifierTrainer)
ConditionalClustererTrainer(Pipe _p, ClassifierTrainer _classifierTrainer, double _threshold)
ConditionalClustererTrainer(Pipe _p, double _threshold)

Method Summary

Modifier and Type	Method and Description
ConditionalClusterer	train(AbstractPipeInputIterator instanceIterator, boolean useFeatureInduction)
ConditionalClusterer	train(Collection trainingCluster, boolean useFeatureInduction, boolean generateSampledInstances, double positiveInstanceRatio, int numberTrainingInstances)

Methods inherited from class java.lang.Object

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

Constructor Detail

ConditionalClustererTrainer

public ConditionalClustererTrainer(Pipe _p,
                                   ClassifierTrainer _classifierTrainer,
                                   double _threshold)

ConditionalClustererTrainer

public ConditionalClustererTrainer(Pipe _p,
                                   ClassifierTrainer _classifierTrainer)

ConditionalClustererTrainer

public ConditionalClustererTrainer(Pipe _p,
                                   double _threshold)

ConditionalClustererTrainer

public ConditionalClustererTrainer(Pipe _p)

Method Detail

train

public ConditionalClusterer train(AbstractPipeInputIterator instanceIterator,
                                  boolean useFeatureInduction)

train

public ConditionalClusterer train(Collection trainingCluster,
                                  boolean useFeatureInduction,
                                  boolean generateSampledInstances,
                                  double positiveInstanceRatio,
                                  int numberTrainingInstances)