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java.lang.Objectcalhoun.analysis.crf.AbstractFeatureManager<CompositeInput>
calhoun.analysis.crf.features.interval13.BlastInterval13
public class BlastInterval13
| Constructor Summary | |
|---|---|
BlastInterval13()
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| Method Summary | |
|---|---|
void |
evaluateNode(InputSequence<? extends CompositeInput> seq,
int pos,
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<? extends TrainingSequence<? extends CompositeInput>> 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 BlastInterval13()
| Method Detail |
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public int getNumFeatures()
FeatureManagerFeatureManager. This number must be fixed after the call to trainFeatures is complete.
getNumFeatures in interface FeatureManager<CompositeInput>FeatureManagerpublic java.lang.String getFeatureName(int featureIndex)
FeatureManager
getFeatureName in interface FeatureManager<CompositeInput>featureIndex - the index of this feature
public void evaluateNode(InputSequence<? extends CompositeInput> seq,
int pos,
int state,
FeatureList result)
FeatureManagerNode
evaluateNode in interface FeatureManagerNode<CompositeInput>
public void train(int startingIndex,
ModelManager modelInfo,
java.util.List<? extends TrainingSequence<? extends CompositeInput>> data)
FeatureManager
train in interface FeatureManager<CompositeInput>startingIndex - 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 FeatureManager<CompositeInput>getCacheStrategy in class AbstractFeatureManager<CompositeInput>
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