Package opennlp.tools.util.featuregen
Class WindowFeatureGenerator
java.lang.Object
opennlp.tools.util.featuregen.WindowFeatureGenerator
- All Implemented Interfaces:
AdaptiveFeatureGenerator
Generates previous (left-sided) and next (right-sided) features for a
given
AdaptiveFeatureGenerator. The window size can be specified.
Features:
- Current token is always included unchanged,
- Previous tokens are prefixed with
pdistance, - Next tokens are prefix with
ndistance.
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Field Summary
Fields -
Constructor Summary
ConstructorsConstructorDescriptionWindowFeatureGenerator(int prevWindowSize, int nextWindowSize, AdaptiveFeatureGenerator... generators) Initializes aWindowFeatureGeneratorwith the given parameters.WindowFeatureGenerator(AdaptiveFeatureGenerator generator) Initializes aWindowFeatureGenerator.WindowFeatureGenerator(AdaptiveFeatureGenerator... generators) Initializes aWindowFeatureGenerator.WindowFeatureGenerator(AdaptiveFeatureGenerator generator, int prevWindowSize, int nextWindowSize) Initializes aWindowFeatureGeneratorwith the given parameters. -
Method Summary
Modifier and TypeMethodDescriptionvoidInforms a feature generator that the context of the adaptive data (typically a document) is no longer valid.voidcreateFeatures(List<String> features, String[] tokens, int index, String[] preds) Adds the appropriate features for the token at the specifiedindexwith the specified array ofpreviousOutcomesto the specified list of features.toString()voidupdateAdaptiveData(String[] tokens, String[] outcomes) Informs a feature generator that the specified tokens have been classified with the corresponding set of specifiedoutcomes.
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Field Details
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PREV_PREFIX
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NEXT_PREFIX
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Constructor Details
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WindowFeatureGenerator
public WindowFeatureGenerator(AdaptiveFeatureGenerator generator, int prevWindowSize, int nextWindowSize) Initializes aWindowFeatureGeneratorwith the given parameters.- Parameters:
generator- TheAdaptiveFeatureGeneratorto apply to the window.prevWindowSize- Size of the window to the left of the current token.nextWindowSize- Size of the window to the right of the current token.
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WindowFeatureGenerator
public WindowFeatureGenerator(int prevWindowSize, int nextWindowSize, AdaptiveFeatureGenerator... generators) Initializes aWindowFeatureGeneratorwith the given parameters.- Parameters:
generators- One or moreAdaptiveFeatureGeneratorto apply to the window.prevWindowSize- Size of the window to the left of the current token.nextWindowSize- Size of the window to the right of the current token.
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WindowFeatureGenerator
Initializes aWindowFeatureGenerator. The previous and next window size is 5.- Parameters:
generator- TheAdaptiveFeatureGeneratorto apply to the window.
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WindowFeatureGenerator
Initializes aWindowFeatureGenerator. The previous and next window size is 5.- Parameters:
generators- One or moreAdaptiveFeatureGeneratorto apply to the window.
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Method Details
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createFeatures
Description copied from interface:AdaptiveFeatureGeneratorAdds the appropriate features for the token at the specifiedindexwith the specified array ofpreviousOutcomesto the specified list of features.- Specified by:
createFeaturesin interfaceAdaptiveFeatureGenerator- Parameters:
features- The list of features to be added to.tokens- The tokens of the sentence or other text unit being processed.index- The index of the token which is currently being processed.preds- The outcomes for the tokens prior to the specified index.
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updateAdaptiveData
Description copied from interface:AdaptiveFeatureGeneratorInforms a feature generator that the specified tokens have been classified with the corresponding set of specifiedoutcomes.- Specified by:
updateAdaptiveDatain interfaceAdaptiveFeatureGenerator- Parameters:
tokens- The tokens of the sentence or other text unit which has been processed.outcomes- The outcomes associated with the specified tokens.
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clearAdaptiveData
public void clearAdaptiveData()Description copied from interface:AdaptiveFeatureGeneratorInforms a feature generator that the context of the adaptive data (typically a document) is no longer valid.- Specified by:
clearAdaptiveDatain interfaceAdaptiveFeatureGenerator
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toString
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