Package org.tribuo.sequence

Provides core classes for working with sequences of Examples.

See: Description

Interface Summary

Interface	Description
SequenceDataSource<T extends Output<T>>	A interface for things that can be given to a SequenceDataset's constructor.
SequenceEvaluation<T extends Output<T>>	An immutable evaluation of a specific sequence model and dataset.
SequenceEvaluator<T extends Output<T>,E extends SequenceEvaluation<T>>	An evaluation factory which produces immutable SequenceEvaluations of a given SequenceDataset using the given SequenceModel.
SequenceTrainer<T extends Output<T>>	An interface for things that can train sequence prediction models.

Class Summary

Class	Description
AbstractSequenceEvaluator<T extends Output<T>,C extends MetricContext<T>,E extends SequenceEvaluation<T>,M extends EvaluationMetric<T,C>>	Base class for sequence evaluators.
HashingSequenceTrainer<T extends Output<T>>	A SequenceTrainer that hashes all the feature names on the way in.
HashingSequenceTrainer.HashingSequenceTrainerProvenance	Provenance for HashingSequenceTrainer.
ImmutableSequenceDataset<T extends Output<T>>	This is a SequenceDataset which has an ImmutableFeatureMap to store the feature information.
IndependentSequenceModel<T extends Output<T>>	A SequenceModel which independently predicts each element of the sequence.
IndependentSequenceTrainer<T extends Output<T>>	Trains a sequence model by training a regular model to independently predict every example in each sequence.
MinimumCardinalitySequenceDataset<T extends Output<T>>	This class creates a pruned dataset in which low frequency features that occur less than the provided minimum cardinality have been removed.
MinimumCardinalitySequenceDataset.MinimumCardinalitySequenceDatasetProvenance	Provenance for MinimumCardinalitySequenceDataset.
MutableSequenceDataset<T extends Output<T>>	A MutableSequenceDataset is a SequenceDataset with a MutableFeatureMap which grows over time.
SequenceDataset<T extends Output<T>>	A class for sets of data, which are used to train and evaluate classifiers.
SequenceExample<T extends Output<T>>	A sequence of examples, used for sequence classification.
SequenceModel<T extends Output<T>>	A prediction model, which is used to predict outputs for unseen instances.
SequenceModelExplorer	A CLI for interacting with a SequenceModel.
SequenceModelExplorer.SequenceModelExplorerOptions	Command line options.

Package org.tribuo.sequence Description

Provides core classes for working with sequences of Examples.

Mirrors the classes in org.tribuo but operating on SequenceExample.