Interface Summary Interface Description CalculateScoreUsed by simulated annealing and genetic algorithms to calculate the score for a machine learning method. MethodFactoryFactor MLMethods. MLAutoAssocationDefines a MLMethod that can handle autoassocation. MLClassificationThis interface defines a MLMethod that is used for classification. MLClusterDefines a cluster. MLClusteringA machine learning method that is used to break data into clusters. MLContextDefines a MLMethod that can hold context. MLEncodableDefines a Machine Learning Method that can be encoded to a double array. MLErrorDefines Machine Learning Method that can calculate an error based on a data set. MLFactoryThis interface defines the fact that a class, or object, is having the ability to generate an Encog factory code from the objects instanciated state. MLInputDefines a MLMethod that accepts input. MLInputOutputThis is a convenience interface that combines MLInput and MLOutput. MLMethodThis interface is the base for all Encog Machine Learning methods. MLOutputDefines a MLMethod that produces output. MLPropertiesDefines a Machine Learning Method that holds properties. MLRegressionDefines a Machine Learning Method that supports regression. MLResettableDefines a Machine Learning Method that can be reset to an untrained starting point. MLStateSequenceA state sequence ML method, for example a Hidden Markov Model. Class Summary Class Description BasicMLA class that provides basic property functionality for the MLProperties interface. Enum Summary Enum Description TrainingImplementationTypeSpecifies the type of training that an object provides.
SCaVis 1.8 © jWork.org