Package org.encog.ml

This package contains all of the classes for Machine Learning.

See:
Description

Interface Summary

MLAutoAssocation	Defines a MLMethod that can handle autoassocation.
MLClassification	This interface defines a MLMethod that is used for classification.
MLCluster	Defines a cluster.
MLClustering	A machine learning method that is used to break data into clusters.
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.

Class Summary

BasicML

A class that provides basic property functionality for the MLProperties interface.

Enum Summary

TrainingImplementationType

Specifies the type of training that an object provides.

Package org.encog.ml Description

This package contains all of the classes for Machine Learning.