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java.lang.Objectedu.umass.cs.mallet.base.types.SparseVector
edu.umass.cs.mallet.base.types.FeatureVector
edu.umass.cs.mallet.base.types.RankedFeatureVector
edu.umass.cs.mallet.base.types.KLGain
Nested Class Summary |
Nested classes inherited from class edu.umass.cs.mallet.base.types.RankedFeatureVector |
RankedFeatureVector.Factory, RankedFeatureVector.PerLabelFactory |
Field Summary |
Fields inherited from class edu.umass.cs.mallet.base.types.SparseVector |
hasInfinite, indices, values |
Constructor Summary | |
KLGain(InstanceList ilist,
Classification[] classifications)
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KLGain(InstanceList ilist,
LabelVector[] classifications)
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Methods inherited from class edu.umass.cs.mallet.base.types.RankedFeatureVector |
getIndexAtRank, getMaxValue, getMaxValuedIndex, getMaxValuedIndexIn, getMaxValuedObject, getMaxValuedObjectIn, getMaxValueIn, getObjectAtRank, getRank, getRank, getValueAtRank, printByRank, printByRank, set, setRankOrder, setRankOrder, setRankOrder |
Methods inherited from class edu.umass.cs.mallet.base.types.FeatureVector |
cloneMatrix, cloneMatrixZeroed, contains, getAlphabet, getObjectIndices, location, toSimpFile, toString, toString, value |
Methods inherited from class edu.umass.cs.mallet.base.types.SparseVector |
absNorm, addTo, addTo, arrayCopyFrom, arrayCopyFrom, arrayCopyInto, dotProduct, dotProduct, dotProduct, dotProduct, extendedDotProduct, extendedDotProduct, getDimensions, getIndices, getNumDimensions, getValues, incrementValue, indexAtLocation, infinityNorm, isBinary, isNaN, location, makeBinary, makeNonBinary, map, numLocations, oneNorm, plusEqualsSparse, plusEqualsSparse, print, removeDuplicates, setAll, setValue, setValueAtLocation, singleIndex, singleSize, singleToIndices, singleValue, sortIndices, timesEquals, timesEqualsSparse, timesEqualsSparse, twoNorm, value, value, valueAtLocation, vectorAdd |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
public KLGain(InstanceList ilist, LabelVector[] classifications)
public KLGain(InstanceList ilist, Classification[] classifications)
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