Uses of Class
edu.umass.cs.mallet.base.types.FeatureSelection

Packages that use FeatureSelection

Package	Description
edu.umass.cs.mallet.base.classify
edu.umass.cs.mallet.base.fst
edu.umass.cs.mallet.base.types

Uses of FeatureSelection in edu.umass.cs.mallet.base.classify

Methods in edu.umass.cs.mallet.base.classify with parameters of type FeatureSelection

Modifier and Type	Method and Description
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)
void	DecisionTree.Node.split(FeatureSelection fs)
protected void	DecisionTreeTrainer.splitTree(DecisionTree.Node node, FeatureSelection selectedFeatures, int depth)

Constructors in edu.umass.cs.mallet.base.classify with parameters of type FeatureSelection

Constructor and Description
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)
Node(InstanceList ilist, DecisionTree.Node parent, FeatureSelection fs)

Uses of FeatureSelection in edu.umass.cs.mallet.base.fst

Methods in edu.umass.cs.mallet.base.fst with parameters of type FeatureSelection

Modifier and Type	Method and Description
void	CRF4.setFeatureSelection(int weightIdx, FeatureSelection fs)

Uses of FeatureSelection in edu.umass.cs.mallet.base.types

Methods in edu.umass.cs.mallet.base.types that return FeatureSelection

Modifier and Type	Method and Description
static FeatureSelection	FeatureSelection.createFromRegex(Alphabet dictionary, Pattern regex) Creates a FeatureSelection that includes only those features whose names match a given regex.
FeatureSelection	InstanceList.getFeatureSelection()
FeatureSelection[]	InstanceList.getPerLabelFeatureSelection()

Methods in edu.umass.cs.mallet.base.types with parameters of type FeatureSelection

Modifier and Type	Method and Description
void	FeatureConjunction.addTo(AugmentableFeatureVector fv, double value, FeatureSelection fs)
void	FeatureConjunction.List.addTo(AugmentableFeatureVector fv, double value, FeatureSelection fs)
int	RankedFeatureVector.getMaxValuedIndexIn(FeatureSelection fs)
Object	RankedFeatureVector.getMaxValuedObjectIn(FeatureSelection fs)
double	RankedFeatureVector.getMaxValueIn(FeatureSelection fs)
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) 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) If "ifSelected" is false, it reverses the selection.
void	Matrix2.setAll(double v, FeatureSelection fselection, boolean ifSelected) If "ifSelected" is false, it reverses the selection.
void	InstanceList.setFeatureSelection(FeatureSelection selectedFeatures)
void	InstanceList.setPerLabelFeatureSelection(FeatureSelection[] selectedFeatures)

Constructors in edu.umass.cs.mallet.base.types with parameters of type FeatureSelection

Constructor and Description
FeatureVector(FeatureVector fv, Alphabet newVocab, FeatureSelection fsNarrow, FeatureSelection fsWide)