Uses of Interface
de.jungblut.math.loss.LossFunction

Packages that use LossFunction

Package	Description
de.jungblut.classification.nn
de.jungblut.math.loss

Uses of LossFunction in de.jungblut.classification.nn

Fields in de.jungblut.classification.nn declared as LossFunction

Modifier and Type	Field	Description
LossFunction	MultilayerPerceptronCostFunction.NetworkConfiguration.error

Methods in de.jungblut.classification.nn with parameters of type LossFunction

Modifier and Type	Method	Description
static MultilayerPerceptron.MultilayerPerceptronBuilder	MultilayerPerceptron.MultilayerPerceptronBuilder.create(int[] layer, ActivationFunction[] activations, LossFunction errorFunction, Minimizer minimizer, int maxIteration)	Creates a new TrainingConfiguration with the mandatory configurations of the activation functions, the to be used minimizer and the maximum iterations.

Uses of LossFunction in de.jungblut.math.loss

Classes in de.jungblut.math.loss that implement LossFunction

Modifier and Type	Class	Description
class	CrossEntropyLoss	Cross entropy error function, for example to be used with the SoftMaxActivationFunction.
class	HingeLoss	Hinge-loss for linear SVMs.
class	LogLoss	Logistic error function implementation.
class	MeanAbsoluteLoss	MAE for regression problems.
class	SquaredLoss	Squared mean error function for regression problems and LinearActivationFunction.
class	StepLoss	Calculates a step error function that can be used for StepActivationFunction.