Class AbstractModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

All Implemented Interfaces:

opennlp.tools.ml.model.MaxentModel

public abstract class AbstractModel
extends Object
implements opennlp.tools.ml.model.MaxentModel

A basic MaxentModel implementation.

Constructor Summary

Constructors

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

Method Summary

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

Methods inherited from class Object

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

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

eval, eval, eval

Constructor Details

AbstractModel

public AbstractModel(opennlp.tools.ml.model.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 Details

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 opennlp.tools.ml.model.MaxentModel

Parameters:

ocs - A double[] as returned by the method.

Returns:

The name of the most likely outcome.

getModelType

public opennlp.tools.ml.AlgorithmType getModelType()

Returns:

Retrieves the AlgorithmType.

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 opennlp.tools.ml.model.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)

Specified by:

getOutcome in interface opennlp.tools.ml.model.MaxentModel

Parameters:

i - An outcome id.

Returns:

Retrieves the name of the outcome associated with id.

getIndex

public int getIndex(String outcome)

Specified by:

getIndex in interface opennlp.tools.ml.model.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 opennlp.tools.ml.model.MaxentModel

getDataStructures

public final Object[] getDataStructures()

Provides the fundamental data structures which encode the MaxentModel information.

The following values are held in the Object[] 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