Package org.encog.ml

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

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



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