org.encog.ml

## Interface MLRegression

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

      public interface MLRegression
      extends MLInputOutput

  Defines a Machine Learning Method that supports regression. Regression takes an input and produces numeric output. Function approximation uses regression. Contrast this to classification, which uses the input to assign a class.

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `MLData` | `compute(MLData input)` Compute regression.

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

      `getInputCount`

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

      `getOutputCount`

- - ### Method Detail

    - #### compute

          MLData compute(MLData input)

      Compute regression.
      Parameters:
        `input` - The input data.
      Returns:
        The output data.

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