- All Known Subinterfaces:
- All Known Implementing Classes:
- Backpropagation, BasicTraining, BasicTrainSOM, CrossTraining, CrossValidationKFold, LevenbergMarquardtTraining, ManhattanPropagation, NEATTraining, NeuralGeneticAlgorithm, NeuralSimulatedAnnealing, Propagation, QuickPropagation, ResilientPropagation, ScaledConjugateGradient, SOMClusterCopyTraining, SVDTraining, SVMSearchJob, SVMTrain, TrainAdaline, TrainBasicPNN, TrainInstar, TrainOutstar
public interface MLTrainDefines a training method for a machine learning method. Most MLMethod objects need to be trained in some way before they are ready for use.