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	TrainingSetScore.calculateScore(MLRegression method) Calculate the score for the network.
double	CalculateScore.calculateScore(MLRegression network) Calculate this network's score.

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.