Uses of Interface
org.tribuo.multilabel.sgd.MultiLabelObjective

Packages that use MultiLabelObjective

Package	Description
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.objectives	Provides multi-label classification loss functions for Stochastic Gradient Descent.

Uses of MultiLabelObjective in org.tribuo.multilabel.sgd.linear

Methods in org.tribuo.multilabel.sgd.linear that return MultiLabelObjective

Modifier and Type	Method	Description
MultiLabelObjective	LinearSGDOptions.getLoss()	Returns the loss function specified in the arguments.

Constructors in org.tribuo.multilabel.sgd.linear with parameters of type MultiLabelObjective

Modifier	Constructor	Description
	LinearSGDTrainer(MultiLabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, int loggingInterval, int minibatchSize, long seed)	Constructs an SGD trainer for a linear model.
	LinearSGDTrainer(MultiLabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, int loggingInterval, long seed)	Constructs an SGD trainer for a linear model.
	LinearSGDTrainer(MultiLabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, long seed)	Constructs an SGD trainer for a linear model.

Uses of MultiLabelObjective in org.tribuo.multilabel.sgd.objectives

Classes in org.tribuo.multilabel.sgd.objectives that implement MultiLabelObjective

Modifier and Type	Class	Description
final class	BinaryCrossEntropy	A multilabel version of binary cross entropy loss which expects logits.
final class	Hinge	Hinge loss, scores the correct value margin and any incorrect predictions -margin.