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

- Packages that use MLError
  Package | Description
  --- | ---
  org.encog.ml.bayesian |
  org.encog.ml.fitting.linear |
  org.encog.ml.prg |
  org.encog.ml.svm |
  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 |

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

    Classes in org.encog.ml.bayesian that implement MLError
    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 MLError in org.encog.ml.fitting.linear

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

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

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

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

    Classes in org.encog.ml.svm that implement MLError
    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 MLError in org.encog.neural.cpn

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

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

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

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

    Classes in org.encog.neural.neat that implement MLError
    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 MLError in org.encog.neural.networks

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

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

    Classes in org.encog.neural.pnn that implement MLError
    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 MLError in org.encog.neural.rbf

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

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

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

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