public class ExpGain extends RankedFeatureVector
| Modifier and Type | Class and Description |
|---|---|
static class |
ExpGain.Factory |
RankedFeatureVector.PerLabelFactoryhasInfinite, indices, values| Constructor and Description |
|---|
ExpGain(InstanceList ilist,
Classification[] classifications,
double gaussianPriorVariance) |
ExpGain(InstanceList ilist,
LabelVector[] classifications,
double gaussianPriorVariance) |
getIndexAtRank, getMaxValue, getMaxValuedIndex, getMaxValuedIndexIn, getMaxValuedObject, getMaxValuedObjectIn, getMaxValueIn, getObjectAtRank, getRank, getRank, getValueAtRank, printByRank, printByRank, set, setRankOrder, setRankOrder, setRankOrdercloneMatrix, cloneMatrixZeroed, contains, getAlphabet, getObjectIndices, location, toSimpFile, toString, toString, valueabsNorm, 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, vectorAddpublic ExpGain(InstanceList ilist, LabelVector[] classifications, double gaussianPriorVariance)
public ExpGain(InstanceList ilist, Classification[] classifications, double gaussianPriorVariance)
Copyright © 2019 JULIE Lab, Germany. All rights reserved.