Package opennlp.tools.ml.model

Class 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

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      boolean equals​(Object obj)  
      int hashCode()  
      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 logPrior​(double[] dist, Context[] context, float[] values)
      Populates the specified array with the 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.

    • 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​(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 #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 Object