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

Packages that use MLRegression
org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst.
org.encog.ml | This package contains all of the classes for Machine Learning.
org.encog.ml.svm | This package contains all of the classes for support vector machines.
org.encog.neural.cpn | This package contains the classes for CPN networks.
org.encog.neural.neat |
org.encog.neural.networks | This package contains the neural network machine learning methods.
org.encog.neural.networks.training | This package provides training for neural networks.
org.encog.neural.pnn | This package contains the classes for the PNN.
org.encog.neural.rbf | This package contains classes for RBF networks.
org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines.
org.encog.util.error |
org.encog.util.simple |

Uses of MLRegression in org.encog.app.analyst.csv

Methods in org.encog.app.analyst.csv with parameters of type MLRegression
`void` | `AnalystEvaluateRawCSV.process(File outputFile, MLRegression method)` Process the file.

Uses of MLRegression in org.encog.ml

Subinterfaces of MLRegression in org.encog.ml
`interface` | `MLAutoAssocation` Defines a MLMethod that can handle autoassocation.

Uses of MLRegression in org.encog.ml.svm

Classes in org.encog.ml.svm that implement MLRegression
`class` | `SVM` This is a network that is backed by one or more Support Vector Machines (SVM).

Uses of MLRegression in org.encog.neural.cpn

Classes in org.encog.neural.cpn that implement MLRegression
`class` | `CPN` Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

Uses of MLRegression in org.encog.neural.neat

Classes in org.encog.neural.neat that implement MLRegression
`class` | `NEATNetwork` Implements a NEAT network as a synapse between two layers.

Uses of MLRegression in org.encog.neural.networks

Classes in org.encog.neural.networks that implement MLRegression
`class` | `BasicNetwork` This class implements a neural network.

Uses of MLRegression in org.encog.neural.networks.training

Methods in org.encog.neural.networks.training with parameters of type MLRegression
`double` | `CalculateScore.calculateScore(MLRegression network)` Calculate this network's score.
`double` | `TrainingSetScore.calculateScore(MLRegression method)` Calculate the score for the network.

Uses of MLRegression in org.encog.neural.pnn

Classes in org.encog.neural.pnn that implement MLRegression
`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 MLRegression in org.encog.neural.rbf

Classes in org.encog.neural.rbf that implement MLRegression
`class` | `RBFNetwork` RBF neural network.

Uses of MLRegression in org.encog.neural.thermal

Classes in org.encog.neural.thermal that implement MLRegression
`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.

Uses of MLRegression in org.encog.util.error

Methods in org.encog.util.error with parameters of type MLRegression
`static double` | `CalculateRegressionError.calculateError(MLRegression method, MLDataSet data)`

Uses of MLRegression in org.encog.util.simple

Methods in org.encog.util.simple with parameters of type MLRegression
`static double` | `EncogUtility.calculateRegressionError(MLRegression method, MLDataSet data)`
`static void` | `EncogUtility.evaluate(MLRegression network, MLDataSet training)` Evaluate the network and display (to the console) the output for every value in the training set.

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