Package de.julielab.gene.candidateretrieval.scoring

Class MaxEntScorerML

java.lang.Object

de.julielab.gene.candidateretrieval.scoring.MaxEntScorerML

public class MaxEntScorerML
extends Object

Constructor Summary

Constructors

Constructor	Description
MaxEntScorerML()

Method Summary

Modifier and Type	Method	Description
void	eval(cc.mallet.classify.Classifier model, cc.mallet.types.InstanceList pairList)
cc.mallet.types.InstanceList	makeInstances(ArrayList<String[]> pairList)
cc.mallet.types.InstanceList	makeInstances(ArrayList<String[]> pairList, cc.mallet.pipe.Pipe pipe)
double	predict(cc.mallet.types.Instance inst, cc.mallet.classify.Classifier model)	return the probability of the true class
cc.mallet.classify.Classifier	train(cc.mallet.types.InstanceList iList)	train the classifier

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxEntScorerML

public MaxEntScorerML()

Method Detail

makeInstances

public cc.mallet.types.InstanceList makeInstances(ArrayList<String[]> pairList,
                                                  cc.mallet.pipe.Pipe pipe)

makeInstances

public cc.mallet.types.InstanceList makeInstances(ArrayList<String[]> pairList)

train

public cc.mallet.classify.Classifier train(cc.mallet.types.InstanceList iList)

train the classifier

Parameters:

iList -

Returns:

the classifier

predict

public double predict(cc.mallet.types.Instance inst,
                      cc.mallet.classify.Classifier model)

return the probability of the true class

Parameters:

inst -

model -

Returns:

probability

eval

public void eval(cc.mallet.classify.Classifier model,
                 cc.mallet.types.InstanceList pairList)