Package opennlp.tools.ml.model

Class UniformPrior

java.lang.Object
opennlp.tools.ml.model.UniformPrior
All Implemented Interfaces:
Prior
public class UniformPrior extends Object implements Prior
Provide a maximum entropy model with a uniform Prior.

  • Constructor Summary

    Constructors
    Constructor
    Description
    UniformPrior()
     

  • Method Summary

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

    • UniformPrior

      public UniformPrior()

  • Method Details

    • logPrior

      public void logPrior(double[] dist, int[] context, float[] values)
      Description copied from interface: Prior
      Populates the specified array with 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 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 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(String[] outcomeLabels, 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 Prior.logPrior(double[], int[]).
      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 Object

    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object