Package opennlp.tools.ml.model

Klasse TwoPassDataIndexer

java.lang.Object

opennlp.tools.ml.model.AbstractDataIndexer

opennlp.tools.ml.model.TwoPassDataIndexer

Alle implementierten Schnittstellen:

DataIndexer

public class TwoPassDataIndexer
extends AbstractDataIndexer

Collecting event and context counts by making two passes over the events.

The first pass determines which contexts will be used by the model, and the second pass creates the events in memory containing only the contexts which will be used. This greatly reduces the amount of memory required for storing the events. During the first pass a temporary event file is created which is read during the second pass.

Siehe auch:

• DataIndexer
• AbstractDataIndexer

Feldübersicht

Von Klasse geerbte Felder opennlp.tools.ml.model.AbstractDataIndexer

SORT_DEFAULT, SORT_PARAM

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
TwoPassDataIndexer()

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
void	index(ObjectStream<Event> eventStream)	Performs the data indexing.

Von Klasse geerbte Methoden opennlp.tools.ml.model.AbstractDataIndexer

getContexts, getNumEvents, getNumTimesEventsSeen, getOutcomeLabels, getOutcomeList, getPredCounts, getPredLabels, getValues, init

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

TwoPassDataIndexer

public TwoPassDataIndexer()

Methodendetails

index

public void index(ObjectStream<Event> eventStream)
           throws IOException

Performs the data indexing.

Note: Make sure the DataIndexer.init(TrainingParameters, Map) method is called first.

Parameter:

eventStream - A ObjectStream<Event> of events used as input.

Löst aus:

IOException - Thrown if IO errors occurred during indexing.