Used by simulated annealing and genetic algorithms to calculate the score for a machine learning method.
Defines a MLMethod that can handle autoassocation.
This interface defines a MLMethod that is used for classification.
Defines a cluster.
A machine learning method that is used to break data into clusters.
Defines a MLMethod that can hold context.
Defines a Machine Learning Method that can be encoded to a double array.
Defines Machine Learning Method that can calculate an error based on a data set.
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.
Defines a MLMethod that accepts input.
This is a convenience interface that combines MLInput and MLOutput.
This interface is the base for all Encog Machine Learning methods.
Defines a MLMethod that produces output.
Defines a Machine Learning Method that holds properties.
Defines a Machine Learning Method that supports regression.
Defines a Machine Learning Method that can be reset to an untrained starting point.
A state sequence ML method, for example a Hidden Markov Model.
A class that provides basic property functionality for the MLProperties interface.
Specifies the type of training that an object provides.
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