Uses of Package

Packages that use org.tribuo.sequence
Evaluation classes for multi-class classification.
Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
Provides a classification sequence data generator for smoke testing implementations.
Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any Label based classification model.
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
This package contains the infrastructure classes for building evaluation metrics.
Provides feature extraction implementations which use ONNX models.
Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.
Provides internal implementations for empty provenance classes and TrainerProvenance.
Provides core classes for working with sequences of Examples.