opennlp.model
Class OnePassDataIndexer

java.lang.Object
  opennlp.model.AbstractDataIndexer
      opennlp.model.OnePassDataIndexer

All Implemented Interfaces:

DataIndexer

Direct Known Subclasses:

OnePassRealValueDataIndexer

public class OnePassDataIndexer
extends AbstractDataIndexer

An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.

Constructor Summary

OnePassDataIndexer(EventStream eventStream)
One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff.

OnePassDataIndexer(EventStream eventStream, int cutoff)

OnePassDataIndexer(EventStream eventStream, int cutoff, boolean sort)
Two argument constructor for DataIndexer.

Method Summary

Methods inherited from class opennlp.model.AbstractDataIndexer

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

Methods inherited from class java.lang.Object

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

Constructor Detail

OnePassDataIndexer

public OnePassDataIndexer(EventStream eventStream)
                   throws IOException

One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff.

Parameters:

eventStream - An Event[] which contains the a list of all the Events seen in the training data.

Throws:

IOException

OnePassDataIndexer

public OnePassDataIndexer(EventStream eventStream,
                          int cutoff)
                   throws IOException

Throws:

IOException

OnePassDataIndexer

public OnePassDataIndexer(EventStream eventStream,
                          int cutoff,
                          boolean sort)
                   throws IOException

Two argument constructor for DataIndexer.

Parameters:

eventStream - An Event[] which contains the a list of all the Events seen in the training data.

cutoff - The minimum number of times a predicate must have been observed in order to be included in the model.

Throws:

IOException