se.lth.cs.nlp.nlputils.ml.glue
Class LibSVMClassifier<T>

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

All Implemented Interfaces:

Serializable

 class LibSVMClassifier<T>
extends ProbabilityClassifier<T>

Author:

Richard Johansson (richard@cs.lth.se)

Field Summary

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

extractor, list

Constructor Summary

LibSVMClassifier(String modelName, NumericEncoding enc)

Method Summary

Object	classify(FeatureList features) Performs a classification given a feature list.
Object	classifyRestricted(FeatureList features, Collection classes) Optional method that makes sure that restricts the range of the output value.
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, setFeatureExtractor

Methods inherited from class java.lang.Object

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

Constructor Detail

LibSVMClassifier

LibSVMClassifier(String modelName,
                 NumericEncoding enc)
           throws IOException

Throws:

IOException

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<T>

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<T>

Parameters:

features - the feature list.

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

classifyRestricted

public Object classifyRestricted(FeatureList features,
                                 Collection classes)

Description copied from class: Classifier

Optional method that makes sure that restricts the range of the output value.

Overrides:

classifyRestricted in class Classifier<T>

Parameters:

features - the feature list.

classes - a collection of allowed classes.

Returns:

the result of the classification.