opennlp.tools.ml.model

## Class AbstractModel

- java.lang.Object
- - opennlp.tools.ml.model.AbstractModel

- All Implemented Interfaces:
    MaxentModel
  Direct Known Subclasses:
    GISModel, NaiveBayesModel, PerceptronModel, QNModel

      public abstract class AbstractModel
      extends Object
      implements MaxentModel

- - ### Nested Class Summary

    Nested Classes
    Modifier and Type | Class and Description
    --- | ---
    `static class` | `AbstractModel.ModelType`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `AbstractModel(Context[] params, String[] predLabels, String[] outcomeNames)`

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | `equals(Object obj)`
    `String` | `getAllOutcomes(double[] ocs)` Return a string matching all the outcome names with all the probabilities produced by the `eval(String[] context)` method.
    `String` | `getBestOutcome(double[] ocs)` Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
    `Object[]` | `getDataStructures()` Provides the fundamental data structures which encode the maxent model information.
    `int` | `getIndex(String outcome)` Gets the index associated with the String name of the given outcome.
    `AbstractModel.ModelType` | `getModelType()`
    `int` | `getNumOutcomes()` Returns the number of outcomes for this model.
    `String` | `getOutcome(int i)` Return the name of an outcome corresponding to an int id.
    `int` | `hashCode()`

    - ### Methods inherited from class java.lang.Object

      `getClass, notify, notifyAll, toString, wait, wait, wait`

    - ### Methods inherited from interface opennlp.tools.ml.model.MaxentModel

      `eval, eval, eval`

- - ### Constructor Detail

    - #### AbstractModel

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

  - ### Method Detail

    - #### 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`

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