Package opennlp.tools.ml.naivebayes

Class NaiveBayesModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

opennlp.tools.ml.naivebayes.NaiveBayesModel

All Implemented Interfaces:

MaxentModel

public class NaiveBayesModel
extends AbstractModel

Class implementing the multinomial Naive Bayes classifier model.

Nested Class Summary

Nested classes/interfaces inherited from class opennlp.tools.ml.model.AbstractModel

AbstractModel.ModelType

Constructor Summary

Constructors

Constructor	Description
NaiveBayesModel(Context[] params, String[] predLabels, String[] outcomeNames)

Method Summary

Modifier and Type	Method	Description
static double[]	eval(int[] context, double[] prior, EvalParameters model)
double[]	eval(String[] context)	Evaluates a context.
double[]	eval(String[] context, double[] probs)	Evaluates a context.
double[]	eval(String[] context, float[] values)	Evaluates a contexts with the specified context values.
double[]	eval(String[] context, float[] values, double[] outsums)

Methods inherited from class opennlp.tools.ml.model.AbstractModel

equals, getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getNumOutcomes, getOutcome, hashCode

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NaiveBayesModel

public NaiveBayesModel(Context[] params,
                       String[] predLabels,
                       String[] outcomeNames)

Method Detail

eval

public double[] eval(String[] context)

Description copied from interface: MaxentModel

Evaluates a context.

Parameters:

context - A list of String names of the contextual predicates which are to be evaluated together.

Returns:

an array of the probabilities for each of the different outcomes, all of which sum to 1.

eval

public double[] eval(String[] context,
                     float[] values)

Description copied from interface: MaxentModel

Evaluates a contexts with the specified context values.

Parameters:

context - A list of String names of the contextual predicates which are to be evaluated together.

values - The values associated with each context.

Returns:

an array of the probabilities for each of the different outcomes, all of which sum to 1.

eval

public double[] eval(String[] context,
                     double[] probs)

Description copied from interface: MaxentModel

Evaluates a context.

Parameters:

context - A list of String names of the contextual predicates which are to be evaluated together.

probs - An array which is populated with the probabilities for each of the different outcomes, all of which sum to 1.

Returns:

an array of the probabilities for each of the different outcomes, all of which sum to 1.

eval

public double[] eval(String[] context,
                     float[] values,
                     double[] outsums)

eval

public static double[] eval(int[] context,
                            double[] prior,
                            EvalParameters model)