Uses of Interface
org.tribuo.classification.sgd.LabelObjective

Packages that use LabelObjective

Package	Description
org.tribuo.classification.sgd.fm	Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.classification.sgd.objectives	Provides classification loss functions for Stochastic Gradient Descent.

Uses of LabelObjective in org.tribuo.classification.sgd.fm

Methods in org.tribuo.classification.sgd.fm that return LabelObjective

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

Constructors in org.tribuo.classification.sgd.fm with parameters of type LabelObjective

Modifier	Constructor	Description
	FMClassificationTrainer(LabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, int loggingInterval, int minibatchSize, long seed, int factorizedDimSize, double variance)	Constructs an SGD trainer for a factorization machine.
	FMClassificationTrainer(LabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, int loggingInterval, long seed, int factorizedDimSize, double variance)	Constructs an SGD trainer for a factorization machine.
	FMClassificationTrainer(LabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, long seed, int factorizedDimSize, double variance)	Constructs an SGD trainer for a factorization machine.

Uses of LabelObjective in org.tribuo.classification.sgd.linear

Methods in org.tribuo.classification.sgd.linear that return LabelObjective

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

Constructors in org.tribuo.classification.sgd.linear with parameters of type LabelObjective

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

Uses of LabelObjective in org.tribuo.classification.sgd.objectives

Classes in org.tribuo.classification.sgd.objectives that implement LabelObjective

Modifier and Type	Class	Description
class	Hinge	Hinge loss, scores the correct value margin and any incorrect predictions -margin.
class	LogMulticlass	A multiclass version of the log loss.