Uses of Class
org.tribuo.sequence.SequenceDataset

Packages that use SequenceDataset

Package	Description
org.tribuo.provenance	Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of SequenceDataset in org.tribuo.provenance

Constructors in org.tribuo.provenance with parameters of type SequenceDataset

Modifier	Constructor	Description
<T extends Output<T>>	DatasetProvenance(DataProvenance sourceProvenance, com.oracle.labs.mlrg.olcut.provenance.ListProvenance<com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance> transformationProvenance, SequenceDataset<T> dataset)	Creates a dataset provenance from the supplied sequence dataset.

Uses of SequenceDataset in org.tribuo.sequence

Subclasses of SequenceDataset in org.tribuo.sequence

Modifier and Type	Class	Description
class	ImmutableSequenceDataset<T extends Output<T>>	This is a SequenceDataset which has an ImmutableFeatureMap to store the feature information.
class	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.
class	MutableSequenceDataset<T extends Output<T>>	A MutableSequenceDataset is a SequenceDataset with a MutableFeatureMap which grows over time.

Methods in org.tribuo.sequence that return SequenceDataset

Modifier and Type	Method	Description
static <T extends Output<T>> SequenceDataset<T>	SequenceDataset.castDataset(SequenceDataset<?> inputDataset, Class<T> outputType)	Casts the dataset to the specified output type, assuming it is valid.
static SequenceDataset<?>	SequenceDataset.deserialize(org.tribuo.protos.core.SequenceDatasetProto sequenceProto)	Deserializes a sequence dataset proto into a sequence dataset.
static SequenceDataset<?>	SequenceDataset.deserializeFromFile(Path path)	Reads an instance of SequenceDatasetProto from the supplied path and deserializes it.
static SequenceDataset<?>	SequenceDataset.deserializeFromStream(InputStream is)	Reads an instance of SequenceDatasetProto from the supplied input stream and deserializes it.

Methods in org.tribuo.sequence with parameters of type SequenceDataset

Modifier and Type	Method	Description
static <T extends Output<T>> SequenceDataset<T>	SequenceDataset.castDataset(SequenceDataset<?> inputDataset, Class<T> outputType)	Casts the dataset to the specified output type, assuming it is valid.
static <T extends Output<T>> ImmutableSequenceDataset<T>	ImmutableSequenceDataset.copyDataset(SequenceDataset<T> dataset)	Creates an immutable deep copy of the supplied dataset.
static <T extends Output<T>> ImmutableSequenceDataset<T>	ImmutableSequenceDataset.copyDataset(SequenceDataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo)	Creates an immutable deep copy of the supplied dataset, using a different feature and output map.
static <T extends Output<T>> ImmutableSequenceDataset<T>	ImmutableSequenceDataset.copyDataset(SequenceDataset<T> dataset, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, Merger merger)	Creates an immutable deep copy of the supplied dataset.
final E	AbstractSequenceEvaluator.evaluate(SequenceModel<T> model, SequenceDataset<T> dataset)	Produces an evaluation for the supplied model and dataset, by calling SequenceModel.predict(org.tribuo.sequence.SequenceExample<T>) to create the predictions, then aggregating the appropriate statistics.
E	SequenceEvaluator.evaluate(SequenceModel<T> model, SequenceDataset<T> dataset)	Evaluates the dataset using the supplied model, returning an immutable evaluation.
List<List<Prediction<T>>>	SequenceModel.predict(SequenceDataset<T> examples)	Uses the model to predict the labels for multiple examples contained in a data set.
SequenceModel<T>	HashingSequenceTrainer.train(SequenceDataset<T> sequenceExamples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> instanceProvenance)	This clones the SequenceDataset, hashes each of the examples and rewrites their feature ids before passing it to the inner trainer.
IndependentSequenceModel<T>	IndependentSequenceTrainer.train(SequenceDataset<T> examples)
IndependentSequenceModel<T>	IndependentSequenceTrainer.train(SequenceDataset<T> sequenceExamples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
default SequenceModel<T>	SequenceTrainer.train(SequenceDataset<T> examples)	Trains a sequence prediction model using the examples in the given data set.
SequenceModel<T>	SequenceTrainer.train(SequenceDataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)	Trains a sequence prediction model using the examples in the given data set.

Constructors in org.tribuo.sequence with parameters of type SequenceDataset

Modifier	Constructor	Description
	MinimumCardinalitySequenceDataset(SequenceDataset<T> sequenceDataset, int minCardinality)