Package opennlp.tools.ml.model

Interface Prior

  • All Known Implementing Classes:
    UniformPrior
    public interface Prior
    This interface allows one to implement a prior distribution for use in maximum entropy model training.

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      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​(java.lang.String[] outcomeLabels, java.lang.String[] contextLabels)
      Method to specify the label for the outcomes and contexts.

    • Method Detail

      • logPrior

        void logPrior​(double[] dist,
              int[] context)
        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.
        Parameters:
        dist - An array to be populated with the log of the prior distribution.
        context - The indices of the contextual predicates for an event.

      • logPrior

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

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

      • setLabels

        void setLabels​(java.lang.String[] outcomeLabels,
               java.lang.String[] contextLabels)
        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.
        Parameters:
        outcomeLabels - An array of each outcome label.
        contextLabels - An array of each context label.