Uses of Class
eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

Packages that use SequenceLabelSample

Package	Description
eus.ixa.ixa.pipe.ml	Package containing common code for training and evaluating IXA pipes models.
eus.ixa.ixa.pipe.ml.formats	Classes to directly train NERC models from a variety of corpus formats.
eus.ixa.ixa.pipe.ml.sequence	The package containing all the infrastructure for Sequence objects.

Uses of SequenceLabelSample in eus.ixa.ixa.pipe.ml

Methods in eus.ixa.ixa.pipe.ml that return types with arguments of type SequenceLabelSample

Modifier and Type	Method and Description
static opennlp.tools.util.ObjectStream<SequenceLabelSample>	SequenceLabelerTrainer.getSequenceStream(String inputData, String clearFeatures, String aCorpusFormat) Getting the stream with the right corpus format.

Uses of SequenceLabelSample in eus.ixa.ixa.pipe.ml.formats

Methods in eus.ixa.ixa.pipe.ml.formats that return SequenceLabelSample

Modifier and Type	Method and Description
SequenceLabelSample	TabulatedFormat.read()
SequenceLabelSample	LemmatizerFormat.read()
SequenceLabelSample	ParseToTabulatedFormat.read()
SequenceLabelSample	CoNLL03Format.read()
SequenceLabelSample	CoNLL02Format.read()
SequenceLabelSample	ParseToCoNLL02Format.read()

Uses of SequenceLabelSample in eus.ixa.ixa.pipe.ml.sequence

Methods in eus.ixa.ixa.pipe.ml.sequence that return SequenceLabelSample

Modifier and Type	Method and Description
static SequenceLabelSample	SequenceLabelSample.parse(String taggedTokens, boolean isClearAdaptiveData)
static SequenceLabelSample	SequenceLabelSample.parse(String taggedTokens, String defaultType, boolean isClearAdaptiveData)
protected SequenceLabelSample	SequenceLabelerEvaluator.processSample(SequenceLabelSample reference) Evaluates the given reference SequenceLabelSample object.
SequenceLabelSample	SequenceLabelSampleDataStream.read()
SequenceLabelSample	SequenceLabelSampleTypeFilter.read()

Methods in eus.ixa.ixa.pipe.ml.sequence with parameters of type SequenceLabelSample

Modifier and Type	Method and Description
protected Span[]	SequenceLabelerDetailedFMeasureListener.asSpanArray(SequenceLabelSample sample)
protected Iterator<opennlp.tools.ml.model.Event>	SequenceLabelerEventStream.createEvents(SequenceLabelSample sample)
void	SequenceLabelerEvaluationErrorListener.missclassified(SequenceLabelSample reference, SequenceLabelSample prediction)
protected SequenceLabelSample	SequenceLabelerEvaluator.processSample(SequenceLabelSample reference) Evaluates the given reference SequenceLabelSample object.

Method parameters in eus.ixa.ixa.pipe.ml.sequence with type arguments of type SequenceLabelSample

Modifier and Type	Method and Description
void	SequenceLabelerCrossValidator.evaluate(opennlp.tools.util.ObjectStream<SequenceLabelSample> samples, int nFolds) Starts the evaluation.
static SequenceLabelerModel	SequenceLabelerME.train(String languageCode, String type, opennlp.tools.util.ObjectStream<SequenceLabelSample> samples, opennlp.tools.util.TrainingParameters trainParams, SequenceLabelerFactory factory)

Constructor parameters in eus.ixa.ixa.pipe.ml.sequence with type arguments of type SequenceLabelSample

Constructor and Description
SequenceLabelerEvaluator(opennlp.tools.util.ObjectStream<SequenceLabelSample> trainSamples, String aCorpusFormat, SequenceLabeler seqLabeler, SequenceLabelerEvaluationMonitor... listeners)
SequenceLabelerEventStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> dataStream)
SequenceLabelerEventStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> dataStream, String type, SequenceLabelerContextGenerator contextGenerator, SequenceLabelerCodec codec) Creates a new name finder event stream using the specified data stream and context generator.
SequenceLabelerSequenceStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> psi)
SequenceLabelerSequenceStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> psi, opennlp.tools.util.featuregen.AdaptiveFeatureGenerator featureGen)
SequenceLabelerSequenceStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> psi, opennlp.tools.util.featuregen.AdaptiveFeatureGenerator featureGen, boolean useOutcomes)
SequenceLabelerSequenceStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> psi, SequenceLabelerContextGenerator pcg)
SequenceLabelerSequenceStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> psi, SequenceLabelerContextGenerator pcg, boolean useOutcomes)
SequenceLabelerSequenceStream(opennlp.tools.util.ObjectStream<SequenceLabelSample> psi, SequenceLabelerContextGenerator pcg, boolean useOutcomes, SequenceLabelerCodec<String> seqCodec)
SequenceLabelSampleTypeFilter(Set<String> types, opennlp.tools.util.ObjectStream<SequenceLabelSample> samples)
SequenceLabelSampleTypeFilter(String[] types, opennlp.tools.util.ObjectStream<SequenceLabelSample> samples)