Uses of Class

Packages that use SequenceModel
Evaluation classes for multi-class classification.
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.
This package contains the infrastructure classes for building evaluation metrics.
Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
Provides core classes for working with sequences of Examples.