org.encog.ml

## Interface MLOutput

- All Superinterfaces:
    MLMethod
  All Known Subinterfaces:
    EnsembleML, MLAutoAssocation, MLClassification, MLInputOutput, MLRegression
  All Known Implementing Classes:
    ART1, BasicNetwork, BasicPNN, BayesianNetwork, BoltzmannMachine, CPN, EncogProgram, FreeformNetwork, GaussianFitting, GenericEnsembleML, HopfieldNetwork, LinearRegression, NEATNetwork, NEATPopulation, PrgPopulation, RBFNetwork, SOM, SVM, ThermalNetwork

      public interface MLOutput
      extends MLMethod

  Defines a MLMethod that produces output. Input is defined as a simple array of double values. Many machine learning methods, such as neural networks and support vector machines produce output this way, and thus implement this interface. Others, such as clustering, do not.

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `int` | `getOutputCount()`

- - ### Method Detail

    - #### getOutputCount

          int getOutputCount()

      Returns:
        The output count.

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