Package opennlp.tools.ml.model

Interface MaxentModel

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      double[] eval​(String[] context)
      Evaluates a context.
      double[] eval​(String[] context, double[] probs)
      Evaluates a context.
      double[] eval​(String[] context, float[] values)
      Evaluates a contexts with the specified context values.
      String getAllOutcomes​(double[] outcomes)
      Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
      String getBestOutcome​(double[] outcomes)
      Simple function to return the outcome associated with the index containing the highest probability in the double[].
      int getIndex​(String outcome)
      Gets the index associated with the String name of the given outcome.
      int getNumOutcomes()
      Returns the number of outcomes for this model.
      String getOutcome​(int i)
      Gets the String name of the outcome associated with the index i.

    • Method Detail

      • eval

        double[] eval​(String[] context)
        Evaluates a context.
        Parameters:
        context - A list of String names of the contextual predicates which are to be evaluated together.
        Returns:
        an array of the probabilities for each of the different outcomes, all of which sum to 1.

      • eval

        double[] eval​(String[] context,
              double[] probs)
        Evaluates a context.
        Parameters:
        context - A list of String names of the contextual predicates which are to be evaluated together.
        probs - An array which is populated with the probabilities for each of the different outcomes, all of which sum to 1.
        Returns:
        an array of the probabilities for each of the different outcomes, all of which sum to 1.

      • eval

        double[] eval​(String[] context,
              float[] values)
        Evaluates a contexts with the specified context values.
        Parameters:
        context - A list of String names of the contextual predicates which are to be evaluated together.
        values - The values associated with each context.
        Returns:
        an array of the probabilities for each of the different outcomes, all of which sum to 1.

      • getBestOutcome

        String getBestOutcome​(double[] outcomes)
        Simple function to return the outcome associated with the index containing the highest probability in the double[].
        Parameters:
        outcomes - A double[] as returned by the eval(String[] context) method.
        Returns:
        the String name of the best outcome

      • getAllOutcomes

        String getAllOutcomes​(double[] outcomes)
        Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
        Parameters:
        outcomes - A double[] as returned by the eval(String[] context) method.
        Returns:
        String containing outcome names paired with the normalized probability (contained in the double[] ocs) for each one.

      • getOutcome

        String getOutcome​(int i)
        Gets the String name of the outcome associated with the index i.
        Parameters:
        i - the index for which the name of the associated outcome is desired.
        Returns:
        the String name of the outcome

      • getIndex

        int getIndex​(String outcome)
        Gets the index associated with the String name of the given outcome.
        Parameters:
        outcome - the String name of the outcome for which the index is desired
        Returns:
        the index if the given outcome label exists for this model, -1 if it does not.

      • getNumOutcomes

        int getNumOutcomes()
        Returns the number of outcomes for this model.
        Returns:
        The number of outcomes.