Class AbstractModel

java.lang.Object
opennlp.tools.ml.model.AbstractModel
All Implemented Interfaces:
MaxentModel
Direct Known Subclasses:
GISModel, PerceptronModel, QNModel

public abstract class AbstractModel extends Object implements MaxentModel
  • Constructor Details

    • AbstractModel

      public AbstractModel(Context[] params, String[] predLabels, String[] outcomeNames)
  • Method Details

    • getBestOutcome

      public final String getBestOutcome(double[] ocs)
      Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
      Specified by:
      getBestOutcome in interface MaxentModel
      Parameters:
      ocs - A double[] as returned by the eval(String[] context) method.
      Returns:
      The name of the most likely outcome.
    • getModelType

      public AbstractModel.ModelType getModelType()
    • getAllOutcomes

      public final String getAllOutcomes(double[] ocs)
      Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
      Specified by:
      getAllOutcomes in interface MaxentModel
      Parameters:
      ocs - 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

      public final String getOutcome(int i)
      Return the name of an outcome corresponding to an int id.
      Specified by:
      getOutcome in interface MaxentModel
      Parameters:
      i - An outcome id.
      Returns:
      The name of the outcome associated with that id.
    • getIndex

      public int getIndex(String outcome)
      Gets the index associated with the String name of the given outcome.
      Specified by:
      getIndex in interface MaxentModel
      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

      public int getNumOutcomes()
      Description copied from interface: MaxentModel
      Returns the number of outcomes for this model.
      Specified by:
      getNumOutcomes in interface MaxentModel
      Returns:
      The number of outcomes.
    • getDataStructures

      public final Object[] getDataStructures()
      Provides the fundamental data structures which encode the maxent model information. This method will usually only be needed by GISModelWriters. The following values are held in the Object array which is returned by this method:
      • index 0: opennlp.tools.ml.maxent.Context[] containing the model parameters
      • index 1: java.util.Map containing the mapping of model predicates to unique integers
      • index 2: java.lang.String[] containing the names of the outcomes, stored in the index of the array which represents their unique ids in the model.
      Returns:
      An Object[] with the values as described above.
    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object
    • equals

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