Uses of Interface
com.imsl.datamining.neural.Trainer

Packages that use Trainer

Package	Description
com.imsl.datamining.neural	Neural networks.

Uses of Trainer in com.imsl.datamining.neural

Classes in com.imsl.datamining.neural that implement Trainer

Modifier and Type	Class	Description
class	EpochTrainer	Performs two-stage training using randomly selected training patterns in stage I.
class	LeastSquaresTrainer	Trains a FeedForwardNetwork using a Levenberg-Marquardt algorithm for minimizing a sum of squares error.
class	QuasiNewtonTrainer	Trains a network using the quasi-Newton method, MinUnconMultiVar.

Methods in com.imsl.datamining.neural that return Trainer

Modifier and Type	Method	Description
protected Trainer	EpochTrainer.getStage1Trainer()	Returns the stage 1 trainer.
protected Trainer	EpochTrainer.getStage2Trainer()	Returns the stage 1 trainer.

Methods in com.imsl.datamining.neural with parameters of type Trainer

Modifier and Type	Method	Description
void	BinaryClassification.train(Trainer trainer, double[][] xData, int[] yData)	Trains the classification neural network using supplied trainer and patterns.
void	MultiClassification.train(Trainer trainer, double[][] xData, int[] yData)	Trains the classification neural network using supplied training patterns.

Constructors in com.imsl.datamining.neural with parameters of type Trainer

Modifier	Constructor	Description
	EpochTrainer(Trainer stage1Trainer)	Creates a single stage EpochTrainer.
	EpochTrainer(Trainer stage1Trainer, Trainer stage2Trainer)	Creates a two-stage EpochTrainer.