org.encog.ml

## Interface MLInputOutput

- All Superinterfaces:
    MLInput, MLMethod, MLOutput
  All Known Subinterfaces:
    EnsembleML, MLAutoAssocation, MLClassification, 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 MLInputOutput
      extends MLInput, MLOutput

  This is a convenience interface that combines MLInput and MLOutput. Together these define a MLMethod that both accepts input and produces output. Input and output are defined as a simple array of double values. Many machine learning methods, such as neural networks and support vector machines handle input and output in this way, and thus implement this interface. Others, such as clustering, do not.

- - ### Method Summary

    - ### Methods inherited from interface org.encog.ml.MLInput

      `getInputCount`

    - ### Methods inherited from interface org.encog.ml.MLOutput

      `getOutputCount`

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