opennlp.tools.ml.perceptron

Class PerceptronModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

opennlp.tools.ml.perceptron.PerceptronModel

All Implemented Interfaces:

MaxentModel

public class PerceptronModel
extends AbstractModel

Nested Class Summary

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

AbstractModel.ModelType

Constructor Summary

Constructors

Constructor and Description
PerceptronModel(Context[] params, String[] predLabels, Map<String,Integer> pmap, String[] outcomeNames) Deprecated. this will be removed in 1.8.1, pmap should be private
PerceptronModel(Context[] params, String[] predLabels, String[] outcomeNames)

Method Summary

Modifier and Type	Method and Description
static double[]	eval(int[] context, double[] prior, EvalParameters model)
static double[]	eval(int[] context, float[] values, double[] prior, EvalParameters model, boolean normalize) Deprecated.
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

PerceptronModel

@Deprecated
public PerceptronModel(Context[] params,
                                   String[] predLabels,
                                   Map<String,Integer> pmap,
                                   String[] outcomeNames)

Deprecated. this will be removed in 1.8.1, pmap should be private

PerceptronModel

public PerceptronModel(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)

eval

@Deprecated
public static double[] eval(int[] context,
                                        float[] values,
                                        double[] prior,
                                        EvalParameters model,
                                        boolean normalize)

Deprecated.