Uses of Package
org.tribuo.multilabel

Packages that use org.tribuo.multilabel
Package
Description
org.tribuo.interop.oci
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.onnx
This package contains a Tribuo wrapper around the ONNX Runtime.
org.tribuo.interop.tensorflow
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.multilabel
Provides classes and infrastructure for working with multi-label classification problems.
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.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.