Package opennlp.tools.util.featuregen
Class WindowFeatureGenerator
- java.lang.Object
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- opennlp.tools.util.featuregen.WindowFeatureGenerator
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- All Implemented Interfaces:
AdaptiveFeatureGenerator
public class WindowFeatureGenerator extends java.lang.Object implements AdaptiveFeatureGenerator
Generates previous and next features for a givenAdaptiveFeatureGenerator
. The window size can be specified. Features: Current token is always included unchanged Previous tokens are prefixed with p distance Next tokens are prefix with n distance
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Field Summary
Fields Modifier and Type Field Description static java.lang.String
NEXT_PREFIX
static java.lang.String
PREV_PREFIX
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Constructor Summary
Constructors Constructor Description WindowFeatureGenerator(int prevWindowSize, int nextWindowSize, AdaptiveFeatureGenerator... generators)
Initializes the current instance with the given parameters.WindowFeatureGenerator(AdaptiveFeatureGenerator generator)
Initializes the current instance.WindowFeatureGenerator(AdaptiveFeatureGenerator... generators)
Initializes the current instance with the given parameters.WindowFeatureGenerator(AdaptiveFeatureGenerator generator, int prevWindowSize, int nextWindowSize)
Initializes the current instance with the given parameters.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
clearAdaptiveData()
Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.void
createFeatures(java.util.List<java.lang.String> features, java.lang.String[] tokens, int index, java.lang.String[] preds)
Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.java.lang.String
toString()
void
updateAdaptiveData(java.lang.String[] tokens, java.lang.String[] outcomes)
Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
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Field Detail
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PREV_PREFIX
public static final java.lang.String PREV_PREFIX
- See Also:
- Constant Field Values
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NEXT_PREFIX
public static final java.lang.String NEXT_PREFIX
- See Also:
- Constant Field Values
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Constructor Detail
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WindowFeatureGenerator
public WindowFeatureGenerator(AdaptiveFeatureGenerator generator, int prevWindowSize, int nextWindowSize)
Initializes the current instance with the given parameters.- Parameters:
generator
- Feature generator to 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 the current instance with the given parameters.- Parameters:
prevWindowSize
-nextWindowSize
-generators
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WindowFeatureGenerator
public WindowFeatureGenerator(AdaptiveFeatureGenerator generator)
Initializes the current instance. The previous and next window size is 5.- Parameters:
generator
- feature generator
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WindowFeatureGenerator
public WindowFeatureGenerator(AdaptiveFeatureGenerator... generators)
Initializes the current instance with the given parameters.- Parameters:
generators
- array of feature generators
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Method Detail
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createFeatures
public void createFeatures(java.util.List<java.lang.String> features, java.lang.String[] tokens, int index, java.lang.String[] preds)
Description copied from interface:AdaptiveFeatureGenerator
Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.- Specified by:
createFeatures
in 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
public void updateAdaptiveData(java.lang.String[] tokens, java.lang.String[] outcomes)
Description copied from interface:AdaptiveFeatureGenerator
Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.- Specified by:
updateAdaptiveData
in 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:AdaptiveFeatureGenerator
Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.- Specified by:
clearAdaptiveData
in interfaceAdaptiveFeatureGenerator
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toString
public java.lang.String toString()
- Overrides:
toString
in classjava.lang.Object
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