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## 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
`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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