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java.lang.Objectopennlp.maxent.AbstractDataIndexer
opennlp.maxent.OnePassDataIndexer
public class OnePassDataIndexer
An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
| Field Summary |
|---|
| Fields inherited from class opennlp.maxent.AbstractDataIndexer |
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contexts, numTimesEventsSeen, outcomeLabels, outcomeList, predCounts, predLabels |
| Constructor Summary | |
|---|---|
OnePassDataIndexer(EventStream eventStream)
One argument constructor for DataIndexer which calls the two argument constructor assuming no cutoff. |
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OnePassDataIndexer(EventStream eventStream,
int cutoff)
Two argument constructor for DataIndexer. |
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| Method Summary | |
|---|---|
protected java.util.List |
index(gnu.trove.TLinkedList events,
gnu.trove.TObjectIntHashMap predicateIndex)
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| Methods inherited from class opennlp.maxent.AbstractDataIndexer |
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getContexts, getNumTimesEventsSeen, getOutcomeLabels, getOutcomeList, getPredCounts, getPredLabels, getValues, sortAndMerge, toIndexedStringArray, update |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public OnePassDataIndexer(EventStream eventStream)
eventStream - An Event[] which contains the a list of all the Events
seen in the training data.
public OnePassDataIndexer(EventStream eventStream,
int cutoff)
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.| Method Detail |
|---|
protected java.util.List index(gnu.trove.TLinkedList events,
gnu.trove.TObjectIntHashMap predicateIndex)
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