Uses of Interface

Packages that use SequenceTrainer
Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
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.
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.