opennlp.tools.doccat

Class DocumentCategorizerEventStream

java.lang.Object

opennlp.model.AbstractEventStream

opennlp.tools.util.AbstractEventStream<DocumentSample>

opennlp.tools.doccat.DocumentCategorizerEventStream

All Implemented Interfaces:

EventStream

public class DocumentCategorizerEventStream
extends AbstractEventStream<DocumentSample>

Iterator-like class for modeling document classification events.

Constructor Summary

Constructors

Constructor and Description
DocumentCategorizerEventStream(ObjectStream<DocumentSample> samples) Initializes the current instance.
DocumentCategorizerEventStream(ObjectStream<DocumentSample> data, FeatureGenerator... featureGenerators) Initializes the current instance.

Method Summary

Modifier and Type	Method and Description
protected Iterator<Event>	createEvents(DocumentSample sample) Creates events for the provided sample.

Methods inherited from class opennlp.tools.util.AbstractEventStream

hasNext, next

Methods inherited from class opennlp.model.AbstractEventStream

remove

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DocumentCategorizerEventStream

public DocumentCategorizerEventStream(ObjectStream<DocumentSample> data,
                                      FeatureGenerator... featureGenerators)

Initializes the current instance.

Parameters:

data - ObjectStream of DocumentSamples

featureGenerators -

DocumentCategorizerEventStream

public DocumentCategorizerEventStream(ObjectStream<DocumentSample> samples)

Initializes the current instance.

Parameters:

samples - ObjectStream of DocumentSamples

Method Detail

createEvents

protected Iterator<Event> createEvents(DocumentSample sample)

Description copied from class: AbstractEventStream

Creates events for the provided sample.

Specified by:

createEvents in class AbstractEventStream<DocumentSample>

Parameters:

sample - the sample for which training Events are be created.

Returns:

an Iterator of training events or an empty Iterator.