Package cc.mallet.types

Class RankedFeatureVector

java.lang.Object

cc.mallet.types.SparseVector

cc.mallet.types.FeatureVector

cc.mallet.types.RankedFeatureVector

All Implemented Interfaces:

AlphabetCarrying, ConstantMatrix, Vector, java.io.Serializable

Direct Known Subclasses:

BiNormalSeparation, ExpGain, FeatureCounts, GainRatio, GradientGain, InfoGain, KLGain, LabelVector, PartiallyRankedFeatureVector

public class RankedFeatureVector
extends FeatureVector

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	RankedFeatureVector.Factory
static interface	RankedFeatureVector.PerLabelFactory

Field Summary

Fields inherited from class cc.mallet.types.SparseVector

hasInfinite, indices, values

Constructor Summary

Constructors

Constructor	Description
RankedFeatureVector(Alphabet dict, double[] values)
RankedFeatureVector(Alphabet dict, double[] values, int begin, int length)
RankedFeatureVector(Alphabet dict, int[] indices, double[] values)
RankedFeatureVector(Alphabet dict, AugmentableFeatureVector v)
RankedFeatureVector(Alphabet dict, DenseVector v)
RankedFeatureVector(Alphabet dict, SparseVector v)

Method Summary

Modifier and Type	Method	Description
int	getIndexAtRank(int rank)
double	getMaxValue()
int	getMaxValuedIndex()
int	getMaxValuedIndexIn(FeatureSelection fs)
java.lang.Object	getMaxValuedObject()
java.lang.Object	getMaxValuedObjectIn(FeatureSelection fs)
double	getMaxValueIn(FeatureSelection fs)
java.lang.Object	getObjectAtRank(int rank)
int	getRank(int index)
int	getRank(java.lang.Object o)
double	getValueAtRank(int rank)
void	printByRank(java.io.OutputStream out)	Prints a human-readable version of this vector, with features listed in ranked order.
void	printByRank(java.io.PrintWriter out)	Prints a human-readable version of this vector, with features listed in ranked order.
void	printLowerK(java.io.PrintWriter out, int num)
void	printTopK(java.io.PrintWriter out, int num)
void	set(int i, double v)
protected void	setRankOrder()	Add rank annotations for the entire feature vector.
protected void	setRankOrder(int extent)
protected void	setRankOrder(int extent, boolean reset)
protected void	setReverseRankOrder(int extent, boolean reset)

Methods inherited from class cc.mallet.types.FeatureVector

alphabetsMatch, cloneMatrix, cloneMatrixZeroed, contains, getAlphabet, getAlphabets, getObjectIndices, location, newFeatureVector, toSimpFile, toString, toString, value

Methods inherited from class cc.mallet.types.SparseVector

absNorm, addTo, addTo, arrayCopyFrom, arrayCopyFrom, arrayCopyInto, dotProduct, dotProduct, dotProduct, dotProduct, extendedDotProduct, extendedDotProduct, getDimensions, getIndices, getNumDimensions, getValues, incrementValue, indexAtLocation, infinityNorm, isBinary, isInfinite, isNaN, isNaNOrInfinite, location, makeBinary, makeNonBinary, map, numLocations, oneNorm, plusEqualsSparse, plusEqualsSparse, print, removeDuplicates, setAll, setValue, setValueAtLocation, singleIndex, singleSize, singleToIndices, singleValue, sortIndices, timesEquals, timesEqualsSparse, timesEqualsSparse, timesEqualsSparseZero, twoNorm, value, value, valueAtLocation, vectorAdd

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

RankedFeatureVector

public RankedFeatureVector(Alphabet dict,
                           int[] indices,
                           double[] values)

RankedFeatureVector

public RankedFeatureVector(Alphabet dict,
                           double[] values)

RankedFeatureVector

public RankedFeatureVector(Alphabet dict,
                           double[] values,
                           int begin,
                           int length)

RankedFeatureVector

public RankedFeatureVector(Alphabet dict,
                           DenseVector v)

RankedFeatureVector

public RankedFeatureVector(Alphabet dict,
                           AugmentableFeatureVector v)

RankedFeatureVector

public RankedFeatureVector(Alphabet dict,
                           SparseVector v)

Method Detail

setRankOrder

protected void setRankOrder()

Add rank annotations for the entire feature vector.

setRankOrder

protected void setRankOrder(int extent,
                            boolean reset)

setReverseRankOrder

protected void setReverseRankOrder(int extent,
                                   boolean reset)

setRankOrder

protected void setRankOrder(int extent)

getMaxValuedIndex

public int getMaxValuedIndex()

getMaxValuedObject

public java.lang.Object getMaxValuedObject()

getMaxValuedIndexIn

public int getMaxValuedIndexIn(FeatureSelection fs)

getMaxValuedObjectIn

public java.lang.Object getMaxValuedObjectIn(FeatureSelection fs)

getMaxValue

public double getMaxValue()

getMaxValueIn

public double getMaxValueIn(FeatureSelection fs)

getIndexAtRank

public int getIndexAtRank(int rank)

getObjectAtRank

public java.lang.Object getObjectAtRank(int rank)

getValueAtRank

public double getValueAtRank(int rank)

printByRank

public void printByRank(java.io.OutputStream out)

Prints a human-readable version of this vector, with features listed in ranked order.

Parameters:

out - Stream to write to

printByRank

public void printByRank(java.io.PrintWriter out)

Prints a human-readable version of this vector, with features listed in ranked order.

Parameters:

out - Writer to write to

printTopK

public void printTopK(java.io.PrintWriter out,
                      int num)

printLowerK

public void printLowerK(java.io.PrintWriter out,
                        int num)

getRank

public int getRank(java.lang.Object o)

getRank

public int getRank(int index)

set

public void set(int i,
                double v)