Uses of Class
cc.mallet.types.FeatureSelection

Packages that use FeatureSelection

cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of FeatureSelection in cc.mallet.classify

Fields in cc.mallet.classify declared as FeatureSelection

protected FeatureSelection	MaxEnt.featureSelection
protected FeatureSelection[]	MaxEnt.perClassFeatureSelection

Methods in cc.mallet.classify that return FeatureSelection

FeatureSelection	MaxEnt.getFeatureSelection()
FeatureSelection	Classifier.getFeatureSelection()
FeatureSelection[]	MaxEnt.getPerClassFeatureSelection()
FeatureSelection[]	Classifier.getPerClassFeatureSelection()

Methods in cc.mallet.classify with parameters of type FeatureSelection

void	DecisionTree.Node.induceFeatures(AugmentableFeatureVector afv, FeatureSelection featuresAlreadyThere, FeatureSelection[] perClassFeaturesAlreadyThere, FeatureSelection newFeatureSelection, FeatureSelection[] perClassNewFeatureSelection, boolean withInteriorNodes, boolean addPerClassFeatures, double classEntropyThreshold)
void	DecisionTree.Node.induceFeatures(AugmentableFeatureVector afv, FeatureSelection featuresAlreadyThere, FeatureSelection[] perClassFeaturesAlreadyThere, FeatureSelection newFeatureSelection, FeatureSelection[] perClassNewFeatureSelection, boolean withInteriorNodes, boolean addPerClassFeatures, double classEntropyThreshold)
void	DecisionTree.Node.induceFeatures(AugmentableFeatureVector afv, FeatureSelection featuresAlreadyThere, FeatureSelection[] perClassFeaturesAlreadyThere, FeatureSelection newFeatureSelection, FeatureSelection[] perClassNewFeatureSelection, boolean withInteriorNodes, boolean addPerClassFeatures, double classEntropyThreshold)
MaxEnt	MaxEnt.setFeatureSelection(FeatureSelection fs)
MaxEnt	MaxEnt.setPerClassFeatureSelection(FeatureSelection[] fss)
void	DecisionTree.Node.split(FeatureSelection fs)
protected void	DecisionTreeTrainer.splitTree(DecisionTree.Node node, FeatureSelection selectedFeatures, int depth)

Constructors in cc.mallet.classify with parameters of type FeatureSelection

DecisionTree.Node(InstanceList ilist, DecisionTree.Node parent, FeatureSelection fs)

MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)

MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)

MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

MaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)

MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)

MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)

RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)

RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

RankMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

Uses of FeatureSelection in cc.mallet.fst

Fields in cc.mallet.fst declared as FeatureSelection

protected FeatureSelection[]	CRF.featureSelections
protected FeatureSelection	CRF.globalFeatureSelection

Methods in cc.mallet.fst with parameters of type FeatureSelection

void	CRF.setFeatureSelection(int weightIdx, FeatureSelection fs)

Uses of FeatureSelection in cc.mallet.types

Methods in cc.mallet.types that return FeatureSelection

static FeatureSelection	FeatureSelection.createFromRegex(Alphabet dictionary, java.util.regex.Pattern regex) Creates a FeatureSelection that includes only those features whose names match a given regex.
FeatureSelection	InstanceList.getFeatureSelection()
FeatureSelection[]	InstanceList.getPerLabelFeatureSelection()

Methods in cc.mallet.types with parameters of type FeatureSelection

void	FeatureConjunction.addTo(AugmentableFeatureVector fv, double value, FeatureSelection fs)
void	FeatureConjunction.List.addTo(AugmentableFeatureVector fv, double value, FeatureSelection fs)
int	RankedFeatureVector.getMaxValuedIndexIn(FeatureSelection fs)
java.lang.Object	RankedFeatureVector.getMaxValuedObjectIn(FeatureSelection fs)
double	RankedFeatureVector.getMaxValueIn(FeatureSelection fs)
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.
void	FeatureSelection.or(FeatureSelection fs)
static double	MatrixOps.rowDotProduct(double[] m, int nc, int ri, Vector v, double factor, int maxCi, FeatureSelection selection)
static double	MatrixOps.rowDotProduct(double[] m, int nc, int ri, Vector v, int maxCi, FeatureSelection selection)
double	Matrix2.rowDotProduct(int ri, Vector v, int maxCi, FeatureSelection selection) Deprecated. Skip all column indices higher than "maxCi".
static void	MatrixOps.rowSetAll(double[] m, int nc, int ri, double v, FeatureSelection fselection, boolean ifSelected) If "ifSelected" is false, it reverses the selection.
void	Matrix2.rowSetAll(int ri, double v, FeatureSelection fselection, boolean ifSelected) Deprecated. If "ifSelected" is false, it reverses the selection.
void	Matrix2.setAll(double v, FeatureSelection fselection, boolean ifSelected) Deprecated. If "ifSelected" is false, it reverses the selection.
void	InstanceList.setFeatureSelection(FeatureSelection selectedFeatures)
void	InstanceList.setPerLabelFeatureSelection(FeatureSelection[] selectedFeatures)

Constructors in cc.mallet.types with parameters of type FeatureSelection

FeatureVector(FeatureVector fv, Alphabet newVocab, FeatureSelection fsNarrow, FeatureSelection fsWide)