Package cc.mallet.types
Class KLGain
- java.lang.Object
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- cc.mallet.types.SparseVector
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- cc.mallet.types.FeatureVector
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- cc.mallet.types.RankedFeatureVector
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- cc.mallet.types.KLGain
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- All Implemented Interfaces:
AlphabetCarrying
,ConstantMatrix
,Vector
,java.io.Serializable
public class KLGain extends RankedFeatureVector
- See Also:
- Serialized Form
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Nested Class Summary
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Nested classes/interfaces inherited from class cc.mallet.types.RankedFeatureVector
RankedFeatureVector.Factory, RankedFeatureVector.PerLabelFactory
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Field Summary
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Fields inherited from class cc.mallet.types.SparseVector
hasInfinite, indices, values
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Constructor Summary
Constructors Constructor Description KLGain(InstanceList ilist, Classification[] classifications)
KLGain(InstanceList ilist, LabelVector[] classifications)
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Method Summary
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Methods inherited from class cc.mallet.types.RankedFeatureVector
getIndexAtRank, getMaxValue, getMaxValuedIndex, getMaxValuedIndexIn, getMaxValuedObject, getMaxValuedObjectIn, getMaxValueIn, getObjectAtRank, getRank, getRank, getValueAtRank, printByRank, printByRank, printLowerK, printTopK, set, setRankOrder, setRankOrder, setRankOrder, setReverseRankOrder
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Methods inherited from class cc.mallet.types.FeatureVector
alphabetsMatch, cloneMatrix, cloneMatrixZeroed, contains, getAlphabet, getAlphabets, getObjectIndices, location, newFeatureVector, toSimpFile, toString, toString, value
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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
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Constructor Detail
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KLGain
public KLGain(InstanceList ilist, LabelVector[] classifications)
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KLGain
public KLGain(InstanceList ilist, Classification[] classifications)
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