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java.lang.Objectcalhoun.analysis.crf.AbstractFeatureManager
calhoun.analysis.crf.test.ConstraintTest.FixedEdges
public static class ConstraintTest.FixedEdges
Edge class used for testing that favors changing states whenever possible. Used to generate interesting paths for constraints
| Constructor Summary | |
|---|---|
ConstraintTest.FixedEdges()
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| Method Summary | |
|---|---|
void |
evaluateEdge(InputSequence seq,
int pos,
int prevState,
int state,
FeatureList result)
Evaluates the set of features managed by this object for the given arguments. |
CacheStrategySpec |
getCacheStrategy()
caching strategy that the CacheProcessor should use to cache values for this feature. |
java.lang.String |
getFeatureName(int featureIndex)
Returns a human identifiable name for the feature referenced by a given index. |
int |
getNumFeatures()
Returns the number of features maintained by this FeatureManager. |
void |
train(int startingIndex,
ModelManager modelInfo,
java.util.List data)
Provides access to the entire training set so that FeatureManager can compute global properties and assign feature indices. |
| Methods inherited from class calhoun.analysis.crf.AbstractFeatureManager |
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getInputComponent, setInputComponent |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Methods inherited from interface calhoun.analysis.crf.FeatureManager |
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getInputComponent, setInputComponent |
| Constructor Detail |
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public ConstraintTest.FixedEdges()
| Method Detail |
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public void evaluateEdge(InputSequence seq,
int pos,
int prevState,
int state,
FeatureList result)
FeatureManagerEdge
evaluateEdge in interface FeatureManagerEdgepublic java.lang.String getFeatureName(int featureIndex)
FeatureManager
getFeatureName in interface FeatureManagerfeatureIndex - the index of this feature
public int getNumFeatures()
FeatureManagerFeatureManager. This number must be fixed after the call to trainFeatures is complete.
getNumFeatures in interface FeatureManagerFeatureManager
public void train(int startingIndex,
ModelManager modelInfo,
java.util.List data)
FeatureManager
train in interface FeatureManagerstartingIndex - the feature index of the first feature owned by this FeatureManager. Each FeatureManager
must use up consecutive indexes, so the last index used will be startingIndex + numFeatures - 1.modelInfo - the model that contains this featuredata - the full list of training sequences to use to train the featurepublic CacheStrategySpec getCacheStrategy()
FeatureManagerCacheProcessor should use to cache values for this feature.
This is only a hint, the cache processor is not required to use this (or any) caching strategy. This base class defaults
to the UNSPECIFIED cache strategy.
getCacheStrategy in interface FeatureManagergetCacheStrategy in class AbstractFeatureManager
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