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

Packages that use LabelObjective

Package	Description
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.linear

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

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

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

Constructor and 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) Sets the minibatch size to 1.
LinearSGDTrainer(LabelObjective objective, StochasticGradientOptimiser optimiser, int epochs, long seed) Sets the minibatch size to 1 and the logging interval to 1000.

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

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

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