Uses of Class
cc.mallet.types.FeatureVector

Packages that use FeatureVector
cc.mallet.cluster Unsupervised clustering of Instance objects within an InstanceList
cc.mallet.fst Transducers, including Conditional Random Fields (CRFs). 
cc.mallet.grmm.learning   
cc.mallet.grmm.learning.templates   
cc.mallet.types Fundamental MALLET types, including FeatureVector, Instance, Label etc. 
 

Uses of FeatureVector in cc.mallet.cluster
 

Methods in cc.mallet.cluster that return FeatureVector
 FeatureVector Record.values(int field)
           
 FeatureVector Record.values(java.lang.String field)
           
 

Uses of FeatureVector in cc.mallet.fst
 

Methods in cc.mallet.fst with parameters of type FeatureVector
 Transducer.TransitionIterator CRF.State.transitionIterator(FeatureVector fv, java.lang.String output)
           
 

Constructors in cc.mallet.fst with parameters of type FeatureVector
CRF.TransitionIterator(CRF.State source, FeatureVector fv, java.lang.String output, CRF crf)
           
MEMM.TransitionIterator(MEMM.State source, FeatureVector fv, java.lang.String output, CRF memm)
           
 

Uses of FeatureVector in cc.mallet.grmm.learning
 

Methods in cc.mallet.grmm.learning that return FeatureVector
 FeatureVector ACRF.UnrolledVarSet.getFv()
           
 

Constructors in cc.mallet.grmm.learning with parameters of type FeatureVector
ACRF.UnrolledVarSet(ACRF.UnrolledGraph graph, ACRF.Template tmpl, Variable[] vars, FeatureVector fv)
           
 

Uses of FeatureVector in cc.mallet.grmm.learning.templates
 

Methods in cc.mallet.grmm.learning.templates with parameters of type FeatureVector
 java.lang.String SimilarTokensTemplate.FeatureVectorBinner.computeBin(FeatureVector fv)
           
 java.lang.String SimilarTokensTemplate.WordFeatureBinner.computeBin(FeatureVector fv)
           
 

Uses of FeatureVector in cc.mallet.types
 

Subclasses of FeatureVector in cc.mallet.types
 class AugmentableFeatureVector
           
 class ExpGain
           
 class FeatureCounts
           
 class GainRatio
          List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information.
 class GradientGain
           
 class InfoGain
           
 class KLGain
           
 class LabelVector
           
 class Multinomial
          A probability distribution over a set of features represented as a FeatureVector.
static class Multinomial.Logged
          A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi].
 class PartiallyRankedFeatureVector
           
 class RankedFeatureVector
           
 

Methods in cc.mallet.types that return FeatureVector
 FeatureVector FeatureVectorSequence.get(int i)
           
 FeatureVector FeatureVectorSequence.getFeatureVector(int i)
           
static FeatureVector FeatureVector.newFeatureVector(FeatureVector fv, Alphabet newVocab, FeatureSelection fs)
          Construct a new FeatureVector, selecting only those features in fs, and having new (presumably more compact, dense) Alphabet.
 FeatureVector FeatureVectorSequence.Iterator.next()
           
 FeatureVector Multinomial.randomFeatureVector(Randoms r, int size)
           
 FeatureVector Dirichlet.randomFeatureVector(Randoms r, int size)
           
 FeatureVector FeatureCounter.toFeatureVector()
           
 FeatureVector AugmentableFeatureVector.toFeatureVector()
           
 FeatureVector TokenSequence.toFeatureVector(Alphabet dict)
           
 FeatureVector PropertyHolder.toFeatureVector(Alphabet dict, boolean binary)
           
 FeatureVector Token.toFeatureVector(Alphabet dict, boolean binary)
           
 

Methods in cc.mallet.types with parameters of type FeatureVector
 void AugmentableFeatureVector.add(FeatureVector fv)
          Adds all indices that are present in some other feature vector with value 1.0.
 void AugmentableFeatureVector.add(FeatureVector fv, java.lang.String prefix)
          Adds all features from some other feature vector with weight 1.0.
 void AugmentableFeatureVector.add(FeatureVector fv, java.lang.String prefix, boolean binary)
          Adds all features from some other feature vector with weight 1.0.
 void Multinomial.Estimator.increment(FeatureVector fv)
           
 void Multinomial.Estimator.increment(FeatureVector fv, double scale)
           
static FeatureVector FeatureVector.newFeatureVector(FeatureVector fv, Alphabet newVocab, FeatureSelection fs)
          Construct a new FeatureVector, selecting only those features in fs, and having new (presumably more compact, dense) Alphabet.
 boolean FeatureConjunction.satisfiedBy(FeatureVector fv)
           
 

Constructors in cc.mallet.types with parameters of type FeatureVector
AugmentableFeatureVector(FeatureVector fv)
           
FeatureVector(FeatureVector fv, Alphabet newVocab, FeatureSelection fsNarrow, FeatureSelection fsWide)
           
FeatureVector(FeatureVector fv, Alphabet newVocab, int[] conjunctions)
          New feature vector containing all the features of "fv", plus new features created by making conjunctions between the features in "conjunctions" and all the other features.
FeatureVectorSequence(FeatureVector[] featureVectors)
           
StringEditFeatureVectorSequence(FeatureVector[] featureVectors, java.lang.String s1, java.lang.String s2)
           
StringEditFeatureVectorSequence(FeatureVector[] featureVectors, java.lang.String s1, java.lang.String s2, char delimiter)
           
StringEditFeatureVectorSequence(FeatureVector[] featureVectors, java.lang.String s1, java.lang.String s2, char delimiter, java.util.HashMap lexic)
           
StringEditFeatureVectorSequence(FeatureVector[] featureVectors, java.lang.String s1, java.lang.String s2, java.util.HashMap lexic)