Uses of Class
eus.ixa.ixa.pipe.ml.document.DocSample

Packages that use DocSample

Package	Description
eus.ixa.ixa.pipe.ml	Package containing common code for training and evaluating IXA pipes models.
eus.ixa.ixa.pipe.ml.document	Classes related to Document Classification.

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

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

Modifier and Type	Method and Description
static opennlp.tools.util.ObjectStream<DocSample>	DocumentClassifierTrainer.getDocumentStream(String inputData, String clearFeatures) Getting the stream with the right corpus format.

Uses of DocSample in eus.ixa.ixa.pipe.ml.document

Methods in eus.ixa.ixa.pipe.ml.document that return DocSample

Modifier and Type	Method and Description
DocSample	DocumentClassifierEvaluator.processSample(DocSample sample) Evaluates the given reference DocSample object.
DocSample	DocSampleStream.read()

Methods in eus.ixa.ixa.pipe.ml.document with parameters of type DocSample

Modifier and Type	Method and Description
protected Iterator<opennlp.tools.ml.model.Event>	DocumentClassifierEventStream.createEvents(DocSample sample)
DocSample	DocumentClassifierEvaluator.processSample(DocSample sample) Evaluates the given reference DocSample object.

Method parameters in eus.ixa.ixa.pipe.ml.document with type arguments of type DocSample

Modifier and Type	Method and Description
void	DocClassifierCrossValidator.evaluate(opennlp.tools.util.ObjectStream<DocSample> samples, int nFolds) Starts the evaluation.
static DocumentClassifierModel	DocumentClassifierME.train(String languageCode, opennlp.tools.util.ObjectStream<DocSample> samples, opennlp.tools.util.TrainingParameters mlParams, DocumentClassifierFactory factory)

Constructor parameters in eus.ixa.ixa.pipe.ml.document with type arguments of type DocSample

Constructor and Description
DocumentClassifierEventStream(opennlp.tools.util.ObjectStream<DocSample> dataStream, DocumentClassifierContextGenerator contextGenerator) Initializes the current instance via samples and feature generators.