ClassDescriptionAbstractSequenceEvaluator<T extends Output<T>,
C extends MetricContext<T>, E extends SequenceEvaluation<T>, M extends EvaluationMetric<T, C>>Base class for sequence evaluators.A SequenceTrainer that hashes all the feature names on the way in.Provenance for
HashingSequenceTrainer.A SequenceModel which independently predicts each element of the sequence.Trains a sequence model by training a regular model to independently predict every example in each sequence.This class creates a pruned dataset in which low frequency features that occur less than the provided minimum cardinality have been removed.Provenance for
MinimumCardinalitySequenceDataset.A class for sets of data, which are used to train and evaluate classifiers.A interface for things that can be given to a SequenceDataset's constructor.An immutable evaluation of a specific sequence model and dataset.A sequence of examples, used for sequence classification.A prediction model, which is used to predict outputs for unseen instances.A CLI for interacting with a
SequenceModel.Command line options.An interface for things that can train sequence prediction models.