calhoun.analysis.crf.features.generic
Class IndicatorEdges

java.lang.Object
  calhoun.analysis.crf.AbstractFeatureManager
      calhoun.analysis.crf.features.generic.IndicatorEdges

All Implemented Interfaces:

FeatureManager, FeatureManagerEdge, java.io.Serializable

public class IndicatorEdges
extends AbstractFeatureManager
implements FeatureManagerEdge

a set of indicator features for the valid transitions in the model.

Notes:

• Each indicator returns 1 when evaluated on it's transition, otherwise 0.
• Exactly one feature will return a non-zero value for every valid edge transition.

See Also:

Serialized Form

Constructor Summary

IndicatorEdges()

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.
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) Edge features don't train based on the data.

Methods inherited from class calhoun.analysis.crf.AbstractFeatureManager

getCacheStrategy, getInputComponent, setInputComponent

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface calhoun.analysis.crf.FeatureManager

getCacheStrategy, getInputComponent, setInputComponent

Constructor Detail

IndicatorEdges

public IndicatorEdges()

Method Detail

getFeatureName

public java.lang.String getFeatureName(int featureIndex)

Description copied from interface: FeatureManager

Returns a human identifiable name for the feature referenced by a given index. Used for display purposes only.

Specified by:

getFeatureName in interface FeatureManager

Parameters:

featureIndex - the index of this feature

Returns:

the human readable name of this feature

getNumFeatures

public int getNumFeatures()

Description copied from interface: FeatureManager

Returns the number of features maintained by this FeatureManager. This number must be fixed after the call to trainFeatures is complete.

Specified by:

getNumFeatures in interface FeatureManager

Returns:

number of features managed by this FeatureManager

evaluateEdge

public void evaluateEdge(InputSequence seq,
                         int pos,
                         int prevState,
                         int state,
                         FeatureList result)

Description copied from interface: FeatureManagerEdge

Evaluates the set of features managed by this object for the given arguments.

Specified by:

evaluateEdge in interface FeatureManagerEdge

train

public void train(int startingIndex,
                  ModelManager modelInfo,
                  java.util.List data)

Edge features don't train based on the data. Just set up based on the model.

Specified by:

train in interface FeatureManager

Parameters:

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 feature

data - the full list of training sequences to use to train the feature