Xmipp  v3.23.11-Nereus
ClassicTrainingVectors Member List

This is the complete list of members for ClassicTrainingVectors, including all inherited members.

add(const FeatureVector &_i, const Label &_tg)ClassificationTrainingSet< FeatureVector, Label >inlinevirtual
add(const FeatureVector &_i)ClassificationTrainingSet< FeatureVector, Label >inlinevirtual
beginSubset(unsigned _um)ClassificationTrainingSet< FeatureVector, Label >inline
BOOTSTRAP enum valueClassificationTrainingSet< FeatureVector, Label >
calibrated() constClassificationTrainingSet< FeatureVector, Label >inline
calibrated(const bool &_calib)ClassificationTrainingSet< FeatureVector, Label >inline
checkCalibrated(std::istream &_is)ClassificationTrainingSet< FeatureVector, Label >inlineprotected
ClassicTrainingVectors(unsigned _vecSize=0, bool _calib=true)ClassicTrainingVectorsinline
ClassicTrainingVectors(std::istream &_is)ClassicTrainingVectors
ClassicTrainingVectors(const ClassicTrainingVectors &op1)ClassicTrainingVectors
ClassificationTrainingSet(const bool &_calib=true, unsigned _n=0)ClassificationTrainingSet< FeatureVector, Label >inline
ClassificationTrainingSet(std::istream &_is)ClassificationTrainingSet< FeatureVector, Label >inline
clear()ClassicTrainingVectors
computeNumTargets()ClassificationTrainingSet< FeatureVector, Label >inlineprotected
CROSSVAL enum valueClassificationTrainingSet< FeatureVector, Label >
dimension() constClassicTrainingVectors
endSubset(unsigned _um)ClassificationTrainingSet< FeatureVector, Label >inline
getFeatureStats(unsigned _i, floatFeature &_mean, floatFeature &_sd)ClassicTrainingVectors
getNormalizationInfo() constClassicTrainingVectorsinlinevirtual
isCalibratedClassificationTrainingSet< FeatureVector, Label >protected
isNormalized() constClassicTrainingVectors
itemAt(unsigned _i) constClassificationTrainingSet< FeatureVector, Label >inline
itemAt(unsigned _i)ClassificationTrainingSet< FeatureVector, Label >inline
itemsBegin() constClassificationTrainingSet< FeatureVector, Label >inlineprotected
itemsEnd() constClassificationTrainingSet< FeatureVector, Label >inlineprotected
JACKKNIFE enum valueClassificationTrainingSet< FeatureVector, Label >
loadObject(std::istream &_is)ClassicTrainingVectorsvirtual
normalize()ClassicTrainingVectors
normalizedClassicTrainingVectorsprotected
normalizeFeature(unsigned _i)ClassicTrainingVectorsvirtual
nTargetsClassificationTrainingSet< FeatureVector, Label >protected
numTargets() constClassificationTrainingSet< FeatureVector, Label >inline
operator=(const ClassicTrainingVectors &op1)ClassicTrainingVectors
printSelf(std::ostream &_os) constClassicTrainingVectorsvirtual
read(const FileName &fnIn)ClassicTrainingVectors
readItems(std::istream &_is)ClassificationTrainingSet< FeatureVector, Label >inlineprotected
readSelf(std::istream &_is)ClassicTrainingVectorsvirtual
remove(unsigned int _idx)ClassificationTrainingSet< FeatureVector, Label >inlinevirtual
saveObject(std::ostream &_os) constClassicTrainingVectorsvirtual
setSplit(float _tp, float _vp)ClassificationTrainingSet< FeatureVector, Label >inline
size() constClassificationTrainingSet< FeatureVector, Label >inline
skipComments(std::istream &_is) constClassificationTrainingSet< FeatureVector, Label >inlineprotected
splitIt typedefClassificationTrainingSet< FeatureVector, Label >
splitMode enum nameClassificationTrainingSet< FeatureVector, Label >
SPLITSAMPLE enum valueClassificationTrainingSet< FeatureVector, Label >
splitTrainingSetClassificationTrainingSet< FeatureVector, Label >protected
splitTS typedefClassificationTrainingSet< FeatureVector, Label >
statsStruct typedefClassicTrainingVectors
swapItems(unsigned _i, unsigned _j)ClassificationTrainingSet< FeatureVector, Label >inlinevirtual
targetAt(unsigned _i) constClassificationTrainingSet< FeatureVector, Label >inline
targetAt(unsigned _i)ClassificationTrainingSet< FeatureVector, Label >inline
targetsBegin() constClassificationTrainingSet< FeatureVector, Label >inlineprotected
targetsEnd() constClassificationTrainingSet< FeatureVector, Label >inlineprotected
TEST enum valueClassificationTrainingSet< FeatureVector, Label >
theItemsClassificationTrainingSet< FeatureVector, Label >
theTargetsClassificationTrainingSet< FeatureVector, Label >
TRAIN enum valueClassificationTrainingSet< FeatureVector, Label >
unNormalize()ClassicTrainingVectorsvirtual
useMode enum nameClassificationTrainingSet< FeatureVector, Label >
VALIDATION enum valueClassificationTrainingSet< FeatureVector, Label >
varStatsClassicTrainingVectorsprotected
writeCalibrated(std::ostream &_os) constClassificationTrainingSet< FeatureVector, Label >inlineprotected
writeItems(std::ostream &_os, bool _delim=false) constClassificationTrainingSet< FeatureVector, Label >inlineprotected
~ClassicTrainingVectors()ClassicTrainingVectorsinlinevirtual
~ClassificationTrainingSet()ClassificationTrainingSet< FeatureVector, Label >inlinevirtual