org.apache.mahout.classifier.naivebayes

Class StandardNaiveBayesClassifier

java.lang.Object

org.apache.mahout.classifier.AbstractVectorClassifier

org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier

public class StandardNaiveBayesClassifier
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
StandardNaiveBayesClassifier(NaiveBayesModel model)

Method Summary

Methods

Modifier and Type	Method and Description
static double	computeWeight(double featureLabelWeight, 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

StandardNaiveBayesClassifier

public StandardNaiveBayesClassifier(NaiveBayesModel model)

Method Detail

getScoreForLabelFeature

public double getScoreForLabelFeature(int label,
                             int feature)

Specified by:

getScoreForLabelFeature in class AbstractNaiveBayesClassifier

computeWeight

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