org.apache.mahout.classifier.naivebayes

Class ComplementaryNaiveBayesClassifier

java.lang.Object

org.apache.mahout.classifier.AbstractVectorClassifier

org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier

public class ComplementaryNaiveBayesClassifier
extends AbstractNaiveBayesClassifier

Implementation of the Naive Bayes Classifier Algorithm

Field Summary

Fields inherited from class org.apache.mahout.classifier.AbstractVectorClassifier

MIN_LOG_LIKELIHOOD

Constructor Summary

Constructors

Constructor and Description
ComplementaryNaiveBayesClassifier(NaiveBayesModel model)

Method Summary

Modifier and Type	Method and Description
static double	computeWeight(double featureWeight, double featureLabelWeight, double totalWeight, double labelWeight, double alphaI, double numFeatures)
double	getScoreForLabelFeature(int label, int feature)

Methods inherited from class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

classify, classifyFull, classifyFull, classifyScalar, getModel, getScoreForLabelInstance, numCategories

Methods inherited from class org.apache.mahout.classifier.AbstractVectorClassifier

classify, classifyFull, classifyNoLink, classifyScalar, logLikelihood

Methods inherited from class java.lang.Object

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

Constructor Detail

ComplementaryNaiveBayesClassifier

public ComplementaryNaiveBayesClassifier(NaiveBayesModel model)

Method Detail

getScoreForLabelFeature

public double getScoreForLabelFeature(int label,
                                      int feature)

Specified by:

getScoreForLabelFeature in class AbstractNaiveBayesClassifier

computeWeight

public static double computeWeight(double featureWeight,
                                   double featureLabelWeight,
                                   double totalWeight,
                                   double labelWeight,
                                   double alphaI,
                                   double numFeatures)