Uses of Class
org.tribuo.sequence.SequenceModel

Packages that use SequenceModel

Package	Description
org.tribuo.evaluation.metrics	This package contains the infrastructure classes for building evaluation metrics.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of SequenceModel in org.tribuo.evaluation.metrics

Methods in org.tribuo.evaluation.metrics that return SequenceModel

Modifier and Type	Method	Description
SequenceModel<T>	MetricContext.getSequenceModel()	Gets the SequenceModel used by this context.

Constructors in org.tribuo.evaluation.metrics with parameters of type SequenceModel

Modifier	Constructor	Description
protected	MetricContext(SequenceModel<T> model, List<Prediction<T>> predictions)	Constructs a metric context for a sequence model.

Uses of SequenceModel in org.tribuo.sequence

Subclasses of SequenceModel in org.tribuo.sequence

Modifier and Type	Class	Description
class	IndependentSequenceModel<T extends Output<T>>	A SequenceModel which independently predicts each element of the sequence.

Methods in org.tribuo.sequence that return SequenceModel

Modifier and Type	Method	Description
<U extends Output<U>> SequenceModel<U>	SequenceModel.castModel(Class<U> outputType)	Casts the model to the specified output type, assuming it is valid.
static SequenceModel<?>	SequenceModel.deserialize(org.tribuo.protos.core.SequenceModelProto proto)	Deserializes the model from the supplied protobuf.
static SequenceModel<?>	SequenceModel.deserializeFromFile(Path path)	Reads an instance of SequenceModelProto from the supplied path and deserializes it.
static SequenceModel<?>	SequenceModel.deserializeFromStream(InputStream is)	Reads an instance of SequenceModelProto from the supplied input stream and deserializes it.
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.
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.

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

Modifier and Type	Method	Description
protected abstract C	AbstractSequenceEvaluator.createContext(SequenceModel<T> model, List<List<Prediction<T>>> predictions)	Create the context needed for evaluation.
protected abstract Set<M>	AbstractSequenceEvaluator.createMetrics(SequenceModel<T> model)	Creates the appropriate set of metrics for this model, by querying for it's OutputInfo.
final E	AbstractSequenceEvaluator.evaluate(SequenceModel<T> model, List<List<Prediction<T>>> predictions, DataProvenance dataProvenance)	Produces an evaluation for the supplied model and predictions by aggregating the appropriate statistics.
final E	AbstractSequenceEvaluator.evaluate(SequenceModel<T> model, SequenceDataset<T> dataset)	Produces an evaluation for the supplied model and dataset, by calling predict(org.tribuo.sequence.SequenceExample<T>) to create the predictions, then aggregating the appropriate statistics.
final E	AbstractSequenceEvaluator.evaluate(SequenceModel<T> model, SequenceDataSource<T> datasource)	Produces an evaluation for the supplied model and datasource, by calling predict(org.tribuo.sequence.SequenceExample<T>) to create the predictions, then aggregating the appropriate statistics.
E	SequenceEvaluator.evaluate(SequenceModel<T> model, List<List<Prediction<T>>> predictions, DataProvenance dataProvenance)	Evaluates the supplied model and predictions by aggregating the appropriate statistics.
E	SequenceEvaluator.evaluate(SequenceModel<T> model, SequenceDataset<T> dataset)	Evaluates the dataset using the supplied model, returning an immutable evaluation.
E	SequenceEvaluator.evaluate(SequenceModel<T> model, SequenceDataSource<T> datasource)	Evaluates the datasource using the supplied model, returning an immutable evaluation.

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

Modifier	Constructor	Description
	ImmutableSequenceDataset(SequenceDataSource<T> dataSource, SequenceModel<T> model)	Creates a dataset from a data source, taking the output and feature domains from the supplied model.