edu.stanford.nlp.classify

Class NaiveBayesClassifierFactory<L,F>

java.lang.Object

edu.stanford.nlp.classify.NaiveBayesClassifierFactory<L,F>

All Implemented Interfaces:

ClassifierFactory<L,F,NaiveBayesClassifier<L,F>>, java.io.Serializable

public class NaiveBayesClassifierFactory<L,F>
extends java.lang.Object
implements ClassifierFactory<L,F,NaiveBayesClassifier<L,F>>

Creates a NaiveBayesClassifier given an RVFDataset.

Author:

Kristina Toutanova (kristina@cs.stanford.edu)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	CL
static int	JL
static int	UCL

Constructor Summary

Constructors

Constructor and Description
NaiveBayesClassifierFactory()
NaiveBayesClassifierFactory(double alphaC, double alphaF, double sigma, int prior, int kind)

Method Summary

Modifier and Type	Method and Description
NaiveBayesClassifier<L,F>	trainClassifier(GeneralDataset<L,F> dataset)
NaiveBayesClassifier<L,F>	trainClassifier(GeneralDataset<L,F> examples, java.util.Set<F> featureSet) The examples are assumed to be a list of RFVDatum.

Methods inherited from class java.lang.Object

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

Field Detail

JL

public static final int JL

See Also:

Constant Field Values

CL

public static final int CL

See Also:

Constant Field Values

UCL

public static final int UCL

See Also:

Constant Field Values

Constructor Detail

NaiveBayesClassifierFactory

public NaiveBayesClassifierFactory()

NaiveBayesClassifierFactory

public NaiveBayesClassifierFactory(double alphaC,
                                   double alphaF,
                                   double sigma,
                                   int prior,
                                   int kind)

Method Detail

trainClassifier

public NaiveBayesClassifier<L,F> trainClassifier(GeneralDataset<L,F> examples,
                                                 java.util.Set<F> featureSet)

The examples are assumed to be a list of RFVDatum. The datums are assumed to not contain the zeroes and then they are added to each instance.

trainClassifier

public NaiveBayesClassifier<L,F> trainClassifier(GeneralDataset<L,F> dataset)

Specified by:

trainClassifier in interface ClassifierFactory<L,F,NaiveBayesClassifier<L,F>>