## Uses of Interface
org.encog.ml.MLInputOutput

- Packages that use MLInputOutput
  Package | Description
  --- | ---
  org.encog.ensemble |
  org.encog.ml |
  org.encog.ml.bayesian |
  org.encog.ml.fitting.gaussian |
  org.encog.ml.fitting.linear |
  org.encog.ml.prg |
  org.encog.ml.prg.train |
  org.encog.ml.svm |
  org.encog.neural.art |
  org.encog.neural.cpn |
  org.encog.neural.freeform |
  org.encog.neural.neat |
  org.encog.neural.networks |
  org.encog.neural.pnn |
  org.encog.neural.rbf |
  org.encog.neural.som |
  org.encog.neural.thermal |

- - ### Uses of MLInputOutput in org.encog.ensemble

    Subinterfaces of MLInputOutput in org.encog.ensemble
    Modifier and Type | Interface and Description
    --- | ---
    `interface` | `EnsembleML`

    Classes in org.encog.ensemble that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `GenericEnsembleML`

  - ### Uses of MLInputOutput in org.encog.ml

    Subinterfaces of MLInputOutput in org.encog.ml
    Modifier and Type | Interface and Description
    --- | ---
    `interface` | `MLAutoAssocation` Defines a MLMethod that can handle autoassocation.
    `interface` | `MLClassification` This interface defines a MLMethod that is used for classification.
    `interface` | `MLRegression` Defines a Machine Learning Method that supports regression.

  - ### Uses of MLInputOutput in org.encog.ml.bayesian

    Classes in org.encog.ml.bayesian that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BayesianNetwork` The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.

  - ### Uses of MLInputOutput in org.encog.ml.fitting.gaussian

    Classes in org.encog.ml.fitting.gaussian that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `GaussianFitting`

  - ### Uses of MLInputOutput in org.encog.ml.fitting.linear

    Classes in org.encog.ml.fitting.linear that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `LinearRegression`

  - ### Uses of MLInputOutput in org.encog.ml.prg

    Classes in org.encog.ml.prg that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `EncogProgram` Holds an Encog Programming Language (EPL) program.

  - ### Uses of MLInputOutput in org.encog.ml.prg.train

    Classes in org.encog.ml.prg.train that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `PrgPopulation` A population that contains EncogProgram's.

  - ### Uses of MLInputOutput in org.encog.ml.svm

    Classes in org.encog.ml.svm that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `SVM` This is a network that is backed by one or more Support Vector Machines (SVM).

  - ### Uses of MLInputOutput in org.encog.neural.art

    Classes in org.encog.neural.art that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `ART1` Implements an ART1 neural network.

  - ### Uses of MLInputOutput in org.encog.neural.cpn

    Classes in org.encog.neural.cpn that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `CPN` Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

  - ### Uses of MLInputOutput in org.encog.neural.freeform

    Classes in org.encog.neural.freeform that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `FreeformNetwork` Implements a freefrom neural network.

  - ### Uses of MLInputOutput in org.encog.neural.neat

    Classes in org.encog.neural.neat that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `NEATNetwork` NEAT networks relieve the programmer of the need to define the hidden layer structure of the neural network.
    `class` | `NEATPopulation` A population for a NEAT or HyperNEAT system.

  - ### Uses of MLInputOutput in org.encog.neural.networks

    Classes in org.encog.neural.networks that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicNetwork` This class implements a neural network.

  - ### Uses of MLInputOutput in org.encog.neural.pnn

    Classes in org.encog.neural.pnn that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicPNN` This class implements either a: Probabilistic Neural Network (PNN) General Regression Neural Network (GRNN) To use a PNN specify an output mode of classification, to make use of a GRNN specify either an output mode of regression or un-supervised autoassociation.

  - ### Uses of MLInputOutput in org.encog.neural.rbf

    Classes in org.encog.neural.rbf that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `RBFNetwork` RBF neural network.

  - ### Uses of MLInputOutput in org.encog.neural.som

    Classes in org.encog.neural.som that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `SOM` A self organizing map neural network.

  - ### Uses of MLInputOutput in org.encog.neural.thermal

    Classes in org.encog.neural.thermal that implement MLInputOutput
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BoltzmannMachine` Implements a Boltzmann machine.
    `class` | `HopfieldNetwork` Implements a Hopfield network.
    `class` | `ThermalNetwork` The thermal network forms the base class for Hopfield and Boltzmann machines.

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