Package org.tribuo.multilabel.sgd

package org.tribuo.multilabel.sgd

Provides infrastructure for Stochastic Gradient Descent for multi-label classification problems.

Related Packages

Package	Description
org.tribuo.multilabel	Provides classes and infrastructure for working with multi-label classification problems.
org.tribuo.multilabel.sgd.fm	Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
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.
org.tribuo.multilabel.baseline	Provides implementations of binary relevance based multi-label classification algorithms.
org.tribuo.multilabel.ensemble	Provides a multi-label ensemble combiner that performs a (possibly weighted) majority vote among each label independently, along with an implementation of classifier chain ensembles.
org.tribuo.multilabel.evaluation	Evaluation classes for multi-label classification using MultiLabel.
org.tribuo.multilabel.example	Provides a multi-label data generator for testing implementations and a configurable data source suitable for demos and tests.

Interfaces

Class	Description
MultiLabelObjective	An interface for multi-label prediction objectives.