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## Uses of Package
org.encog.ml

Packages that use org.encog.ml
org.encog.app.analyst | This package contains the Encog Analyst.
org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst.
org.encog.mathutil.randomize |
org.encog.ml | This package contains all of the classes for Machine Learning.
org.encog.ml.factory | This package contains the Encog Machine Learning Factory.
org.encog.ml.factory.method |
org.encog.ml.factory.train | This package is used to create trainers.
org.encog.ml.kmeans | This package holds the classes used to implement kmeans clustering.
org.encog.ml.svm | This package contains all of the classes for support vector machines.
org.encog.ml.svm.training | This package holds the classes used for SVM training.
org.encog.ml.train |
org.encog.neural.art | This package contains the classes for ART neural networks.
org.encog.neural.bam | THis package contains the classes for BAM networks.
org.encog.neural.cpn | This package contains the classes for CPN networks.
org.encog.neural.cpn.training | This package contains the instar and outstar training for the network.
org.encog.neural.neat |
org.encog.neural.neat.training |
org.encog.neural.networks | This package contains the neural network machine learning methods.
org.encog.neural.networks.structure | This package contains classes used to handle the structure of a neural network.
org.encog.neural.networks.training | This package provides training for neural networks.
org.encog.neural.networks.training.cross | This package provides cross validation training.
org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks.
org.encog.neural.networks.training.lma | This package provides Levenberg Marquardt training for neural networks.
org.encog.neural.networks.training.pnn | This package provides PNN training.
org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks.
org.encog.neural.networks.training.simple | This package provides simple ADALINE training.
org.encog.neural.pattern | This package contains many helper classes to create neural network types.
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.som | This package contains classes for the SOM.
org.encog.neural.som.training.clustercopy | This package provides a very simple trianing method for SOM's.
org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines.
org.encog.plugin | This package holds classes to implement plugins.
org.encog.plugin.system | This package holds the system plugins.
org.encog.util.error |
org.encog.util.simple |
org.encog.util.validate |

Classes in org.encog.ml used by org.encog.app.analyst
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.app.analyst.csv
MLMethod This interface is the base for all Encog Machine Learning methods.
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.mathutil.randomize
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.ml
MLCluster Defines a cluster.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.
TrainingImplementationType Specifies the type of training that an object provides.

Classes in org.encog.ml used by org.encog.ml.factory
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.ml.factory.method
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.ml.factory.train
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.ml.kmeans
MLCluster Defines a cluster.
MLClustering A machine learning method that is used to break data into clusters.
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.ml.svm
BasicML A class that provides basic property functionality for the MLProperties interface.
MLClassification This interface defines a MLMethod that is used for classification.
MLError Defines Machine Learning Method that can calculate an error based on a data set.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.ml.svm.training
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.ml.train
MLMethod This interface is the base for all Encog Machine Learning methods.
TrainingImplementationType Specifies the type of training that an object provides.

Classes in org.encog.ml used by org.encog.neural.art
BasicML A class that provides basic property functionality for the MLProperties interface.
MLClassification This interface defines a MLMethod that is used for classification.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

Classes in org.encog.ml used by org.encog.neural.bam
BasicML A class that provides basic property functionality for the MLProperties interface.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLProperties Defines a Machine Learning Method that holds properties.

Classes in org.encog.ml used by org.encog.neural.cpn
BasicML A class that provides basic property functionality for the MLProperties interface.
MLError Defines Machine Learning Method that can calculate an error based on a data set.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.
MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

Classes in org.encog.ml used by org.encog.neural.cpn.training
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.neat
BasicML A class that provides basic property functionality for the MLProperties interface.
MLContext Defines a MLMethod that can hold context.
MLError Defines Machine Learning Method that can calculate an error based on a data set.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.neural.neat.training
MLMethod This interface is the base for all Encog Machine Learning methods.
TrainingImplementationType Specifies the type of training that an object provides.

Classes in org.encog.ml used by org.encog.neural.networks
BasicML A class that provides basic property functionality for the MLProperties interface.
MLClassification This interface defines a MLMethod that is used for classification.
MLContext Defines a MLMethod that can hold context.
MLEncodable Defines a Machine Learning Method that can be encoded to a double array.
MLError Defines Machine Learning Method that can calculate an error based on a data set.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.
MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

Classes in org.encog.ml used by org.encog.neural.networks.structure
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.networks.training
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.neural.networks.training.cross
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.networks.training.genetic
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.networks.training.lma
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.networks.training.pnn
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.networks.training.propagation
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.networks.training.simple
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.pattern
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.pnn
BasicML A class that provides basic property functionality for the MLProperties interface.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.neural.rbf
BasicML A class that provides basic property functionality for the MLProperties interface.
MLError Defines Machine Learning Method that can calculate an error based on a data set.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.neural.som
BasicML A class that provides basic property functionality for the MLProperties interface.
MLClassification This interface defines a MLMethod that is used for classification.
MLError Defines Machine Learning Method that can calculate an error based on a data set.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

Classes in org.encog.ml used by org.encog.neural.som.training.clustercopy
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.neural.thermal
BasicML A class that provides basic property functionality for the MLProperties interface.
MLAutoAssocation Defines a MLMethod that can handle autoassocation.
MLInput Defines a MLMethod that accepts input.
MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLOutput Defines a MLMethod that produces output.
MLProperties Defines a Machine Learning Method that holds properties.
MLRegression Defines a Machine Learning Method that supports regression.
MLResettable Defines a Machine Learning Method that can be reset to an untrained starting point.

Classes in org.encog.ml used by org.encog.plugin
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.plugin.system
MLMethod This interface is the base for all Encog Machine Learning methods.

Classes in org.encog.ml used by org.encog.util.error
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.util.simple
MLClassification This interface defines a MLMethod that is used for classification.
MLMethod This interface is the base for all Encog Machine Learning methods.
MLRegression Defines a Machine Learning Method that supports regression.

Classes in org.encog.ml used by org.encog.util.validate
MLMethod This interface is the base for all Encog Machine Learning methods.

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