Package opennlp.tools.ml.model

Class AbstractModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

All Implemented Interfaces:

MaxentModel

Direct Known Subclasses:

GISModel, NaiveBayesModel, PerceptronModel, QNModel

public abstract class AbstractModel
extends Object
implements MaxentModel

A basic MaxentModel implementation.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	AbstractModel.ModelType

Constructor Summary

Constructors

Constructor	Description
AbstractModel(Context[] params, String[] predLabels, String[] outcomeNames)	Initializes an AbstractModel.

Method Summary

Modifier and Type	Method	Description
boolean	equals(Object obj)
String	getAllOutcomes(double[] ocs)	Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.
String	getBestOutcome(double[] ocs)	Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
Object[]	getDataStructures()	Provides the fundamental data structures which encode the maxent model information.
int	getIndex(String outcome)	Retrieves the index associated with the String name of the given outcome.
AbstractModel.ModelType	getModelType()
int	getNumOutcomes()
String	getOutcome(int i)	Retrieves the String name of the outcome associated with the index i.
int	hashCode()

Methods inherited from class java.lang.Object

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

Methods inherited from interface opennlp.tools.ml.model.MaxentModel

eval, eval, eval

Constructor Detail

AbstractModel

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

Initializes an AbstractModel.

Parameters:

params - The parameters to set.

predLabels - The predicted labels.

outcomeNames - The names of the outcomes.

Method Detail

getBestOutcome

public final String getBestOutcome(double[] ocs)

Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.

Specified by:

getBestOutcome in interface MaxentModel

Parameters:

ocs - A double[] as returned by the eval(String[] context) method.

Returns:

The name of the most likely outcome.

getModelType

public AbstractModel.ModelType getModelType()

Returns:

Retrieves the AbstractModel.ModelType.

getAllOutcomes

public final String getAllOutcomes(double[] ocs)

Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.

Specified by:

getAllOutcomes in interface MaxentModel

Parameters:

ocs - A double[] as returned by the MaxentModel.eval(String[]) method.

Returns:

String containing outcome names paired with the normalized probability (contained in the double[] ocs) for each one.

getOutcome

public final String getOutcome(int i)

Description copied from interface: MaxentModel

Retrieves the String name of the outcome associated with the index i.

Specified by:

getOutcome in interface MaxentModel

Parameters:

i - An outcome id.

Returns:

Retrieves the name of the outcome associated with that id.

getIndex

public int getIndex(String outcome)

Description copied from interface: MaxentModel

Retrieves the index associated with the String name of the given outcome.

Specified by:

getIndex in interface MaxentModel

Parameters:

outcome - The String name of the outcome for which the index is desired.

Returns:

Retrieves the index if the given outcome label exists for this model, -1 if it does not.

getNumOutcomes

public int getNumOutcomes()

Specified by:

getNumOutcomes in interface MaxentModel

Returns:

Retrieves the number of outcomes for this model.

getDataStructures

public final Object[] getDataStructures()

Provides the fundamental data structures which encode the maxent model information. Note: This method will usually only be needed by GIS model writers.

The following values are held in the Object array which is returned by this method:

• index 0: Context array containing the model parameters.
• index 1: Map containing the mapping of model predicates to unique integers.
• index 2: String array containing the names of the outcomes, stored in the index of the array which represents their unique ids in the model.

Returns:

An Object array with the values as described above.

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object