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## 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.

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