Uses of Interface
com.sun.labs.minion.classification.Feature

Packages that use Feature
com.sun.labs.minion.classification Provides the automatic document classification functionality in Minion. 
 

Uses of Feature in com.sun.labs.minion.classification
 

Classes in com.sun.labs.minion.classification that implement Feature
 class ContingencyFeature
          A weighted feature class that contains a 2x2 contingency table that can be used to calculate the Mutual Information or Chi-squared measures.
 class WeightedFeature
           
 

Fields in com.sun.labs.minion.classification declared as Feature
protected  Feature[] FeaturePostings.feats
          An array of the features added.
 

Fields in com.sun.labs.minion.classification with type parameters of type Feature
protected  java.util.List<Feature> ContingencyFeatureCluster.contents
          A set to hold the contents of this cluster
protected  java.util.Map<java.lang.Integer,Feature> ContingencyFeatureCluster.quickIDMap
           
protected  java.util.Map<java.lang.String,Feature> ContingencyFeatureCluster.quickNameMap
           
 

Methods in com.sun.labs.minion.classification that return Feature
 Feature FeaturePostings.Featurator.decode(Feature f)
          Decodes the current feature from the info buffer and returns it.
 Feature ContingencyFeatureCluster.get(int id)
           
 Feature FeatureCluster.get(int id)
          Gets the feature with the given id out of this cluster.
 Feature SimpleFeatureCluster.get(int id)
           
 Feature WeightedFeatureCluster.get(int id)
           
 Feature ContingencyFeatureCluster.get(java.lang.String name)
           
 Feature FeatureCluster.get(java.lang.String name)
          Gets the feature with the given name out of this cluster.
 Feature SimpleFeatureCluster.get(java.lang.String name)
           
 Feature WeightedFeatureCluster.get(java.lang.String name)
           
 Feature BalancedWinnow.getFeature()
           
 Feature ClassifierModel.getFeature()
          Gets a single feature of the type that this classifier model uses.
 Feature Rocchio.getFeature()
          Gets a single feature of the type that this classifier model uses.
 Feature ContingencyFeatureClusterer.newFeature()
           
 Feature FeatureClusterer.newFeature()
          A non-static factory method to create a feature of the type used by this clusterer
 Feature SimpleClusterer.newFeature()
           
 Feature WeightedFeatureClusterer.newFeature()
           
 

Methods in com.sun.labs.minion.classification that return types with arguments of type Feature
 java.util.SortedSet<Feature> ContingencyFeatureCluster.getContents()
          Gets the contents of the feature cluster.
 java.util.Iterator<Feature> ContingencyFeatureCluster.iterator()
          Gets an iterator for the contents of this cluster.
 java.util.Iterator<Feature> FeatureCluster.iterator()
          Gets an iterator for the contents of this cluster.
 java.util.Iterator<Feature> WeightedFeatureCluster.iterator()
           
 

Methods in com.sun.labs.minion.classification with parameters of type Feature
 void ContingencyFeatureCluster.add(Feature f)
          Add another feature to this cluster, incrementing the counts associated with it.
 void FeatureCluster.add(Feature f)
          Adds a feature to this feature cluster
 void SimpleFeatureCluster.add(Feature f)
           
 void WeightedFeatureCluster.add(Feature f)
           
 int WeightedFeature.compareTo(Feature o)
          Compares two features on the basis of their names.
 Feature FeaturePostings.Featurator.decode(Feature f)
          Decodes the current feature from the info buffer and returns it.
 FeatureCluster FeatureClusterSet.getContaining(Feature feature)
          Gets the feature cluster that contains the given feature.
protected  void ContingencyFeatureCluster.innerAdd(Feature f)