Package org.encog.ml

Interface Summary

Interface	Description
CalculateScore	Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
MethodFactory	Factor MLMethods.
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.
MLFactory	This interface defines the fact that a class, or object, is having the ability to generate an Encog factory code from the objects instanciated state.
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.
MLStateSequence	A state sequence ML method, for example a Hidden Markov Model.

Class Summary

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

Enum Summary

Enum	Description
TrainingImplementationType	Specifies the type of training that an object provides.