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## org.encog.ml
Interface MLOutput

All Superinterfaces:
  MLMethod

All Known Subinterfaces:
  MLAutoAssocation, MLClassification, MLInputOutput, MLRegression

All Known Implementing Classes:
  ART1, BasicNetwork, BasicPNN, BayesianNetwork, BoltzmannMachine, CPN, GaussianFitting, HopfieldNetwork, LinearRegression, NEATNetwork, 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
`int` | `getOutputCount()`

Method Detail

### getOutputCount

    int getOutputCount()

  Returns:
    The output count.

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