opennlp.tools.ml.model

Class UniformPrior

java.lang.Object

opennlp.tools.ml.model.UniformPrior

All Implemented Interfaces:

Prior

public class UniformPrior
extends java.lang.Object
implements Prior

Provide a maximum entropy model with a uniform prior.

Constructor Summary

Constructors

Constructor and Description
UniformPrior()

Method Summary

Modifier and Type	Method and Description
boolean	equals(java.lang.Object obj)
int	hashCode()
void	logPrior(double[] dist, Context[] context, float[] values) Populates the specified array with the the log of the distribution for the specified context.
void	logPrior(double[] dist, int[] context) Populates the specified array with the the log of the distribution for the specified context.
void	logPrior(double[] dist, int[] context, float[] values) Populates the specified array with the the log of the distribution for the specified context.
void	setLabels(java.lang.String[] outcomeLabels, java.lang.String[] contextLabels) Method to specify the label for the outcomes and contexts.

Methods inherited from class java.lang.Object

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

Constructor Detail

UniformPrior

public UniformPrior()

Method Detail

logPrior

public void logPrior(double[] dist,
                     int[] context,
                     float[] values)

Description copied from interface: Prior

Populates the specified array with the the log of the distribution for the specified context. The returned array will be overwritten and needs to be re-initialized with every call to this method.

Specified by:

logPrior in interface Prior

Parameters:

dist - An array to be populated with the log of the prior distribution.

context - The indices of the contextual predicates for an event.

values - The values associated with the context.

logPrior

public void logPrior(double[] dist,
                     Context[] context,
                     float[] values)

Description copied from interface: Prior

Populates the specified array with the the log of the distribution for the specified context. The returned array will be overwritten and needs to be re-initialized with every call to this method.

Specified by:

logPrior in interface Prior

Parameters:

dist - An array to be populated with the log of the prior distribution.

context - The indices of the contextual predicates for an event.

values - The values associated with the context.

logPrior

public void logPrior(double[] dist,
                     int[] context)

Description copied from interface: Prior

Populates the specified array with the the log of the distribution for the specified context. The returned array will be overwritten and needs to be re-initialized with every call to this method.

Specified by:

logPrior in interface Prior

Parameters:

dist - An array to be populated with the log of the prior distribution.

context - The indices of the contextual predicates for an event.

setLabels

public void setLabels(java.lang.String[] outcomeLabels,
                      java.lang.String[] contextLabels)

Description copied from interface: Prior

Method to specify the label for the outcomes and contexts. This is used to map integer outcomes and contexts to their string values. This method is called prior to any call to #logPrior.

Specified by:

setLabels in interface Prior

Parameters:

outcomeLabels - An array of each outcome label.

contextLabels - An array of each context label.

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object