Package org.tribuo.multilabel

package org.tribuo.multilabel

Provides classes and infrastructure for working with multi-label classification problems.

Multi-label classification is where a (possibly empty) set of labels is predicted for each example. For example, predicting that a Reuters article has both the Finance and Sports labels.

Related Packages

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
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.
org.tribuo.multilabel.sgd	Provides infrastructure for Stochastic Gradient Descent for multi-label classification problems.

Classes

Class	Description
ImmutableMultiLabelInfo	An ImmutableOutputInfo for working with MultiLabel tasks.
MultiLabel	A class for multi-label classification.
MultiLabelFactory	A factory for generating MultiLabel objects and their associated OutputInfo and Evaluator objects.
MultiLabelFactory.MultiLabelFactoryProvenance	Provenance for MultiLabelFactory.
MultiLabelInfo	The base class for information about MultiLabel outputs.
MutableMultiLabelInfo	A MutableOutputInfo for working with multi-label tasks.