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.
ClassDescriptionAn ImmutableOutputInfo for working with multi-label tasks.A class for multi-label classification.A factory for generating MultiLabel objects and their associated OutputInfo and Evaluator objects.Provenance for
MultiLabelFactory.The base class for information about
MultiLabeloutputs.A MutableOutputInfo for working with multi-label tasks.