se.lth.cs.nlp.nlputils.ml.glue
Class NativeLibSVMClassifier

java.lang.Object
  se.lth.cs.nlp.nlputils.ml.Classifier<T>
      se.lth.cs.nlp.nlputils.ml.ProbabilityClassifier
          se.lth.cs.nlp.nlputils.ml.glue.NativeLibSVMClassifier

All Implemented Interfaces:

Serializable

 class NativeLibSVMClassifier
extends ProbabilityClassifier

Author:

Richard Johansson (richard@cs.lth.se)

Field Summary

Fields inherited from class se.lth.cs.nlp.nlputils.ml.Classifier

extractor, list

Constructor Summary

NativeLibSVMClassifier()

Method Summary

Object	classify(FeatureList features) Performs a classification given a feature list.
void	computeProbabilities(FeatureList features, double[] probs) Computes the posterior class probabilities given a feature list.

Methods inherited from class se.lth.cs.nlp.nlputils.ml.ProbabilityClassifier

computeProbabilities

Methods inherited from class se.lth.cs.nlp.nlputils.ml.Classifier

classify, classifyRestricted, setFeatureExtractor

Methods inherited from class java.lang.Object

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

Constructor Detail

NativeLibSVMClassifier

NativeLibSVMClassifier()

Method Detail

classify

public Object classify(FeatureList features)

Description copied from class: Classifier

Performs a classification given a feature list.

Specified by:

classify in class Classifier

Parameters:

features - the feature list.

Returns:

the result of the classification.

computeProbabilities

public void computeProbabilities(FeatureList features,
                                 double[] probs)

Description copied from class: ProbabilityClassifier

Computes the posterior class probabilities given a feature list.

Specified by:

computeProbabilities in class ProbabilityClassifier

Parameters:

features - the feature list.

probs - the array of doubles where the probabilities are written.