GClasses
|
This is the complete list of members for GClasses::GKNN, including all inherited members.
addInterpolatedFunction(double *pOut, size_t nOutVals, double *pIn, size_t nInVals) | GClasses::GSupervisedLearner | protectedstatic |
addVector(const GVec &in, const GVec &out) | GClasses::GKNN | |
autoTune(GMatrix &features, GMatrix &labels) | GClasses::GKNN | |
baseDomNode(GDom *pDoc, const char *szClassName) const | GClasses::GSupervisedLearner | protected |
basicTest(double minAccuracy1, double minAccuracy2, double deviation=1e-6, bool printAccuracy=false, double warnRange=0.035) | GClasses::GSupervisedLearner | |
beginIncrementalLearning(const GRelation &featureRel, const GRelation &labelRel) | GClasses::GIncrementalLearner | |
beginIncrementalLearning(const GMatrix &features, const GMatrix &labels) | GClasses::GIncrementalLearner | |
beginIncrementalLearningInner(const GRelation &featureRel, const GRelation &labelRel) | GClasses::GKNN | protectedvirtual |
GClasses::GIncrementalLearner::beginIncrementalLearningInner(const GMatrix &features, const GMatrix &labels) | GClasses::GIncrementalLearner | inlineprotectedvirtual |
canGeneralize() | GClasses::GSupervisedLearner | inlinevirtual |
canImplicitlyHandleContinuousFeatures() | GClasses::GTransducer | inlinevirtual |
canImplicitlyHandleContinuousLabels() | GClasses::GTransducer | inlinevirtual |
canImplicitlyHandleMissingFeatures() | GClasses::GKNN | inlineprotectedvirtual |
canImplicitlyHandleNominalFeatures() | GClasses::GTransducer | inlinevirtual |
canImplicitlyHandleNominalLabels() | GClasses::GTransducer | inlinevirtual |
canTrainIncrementally() | GClasses::GIncrementalLearner | inlinevirtual |
clear() | GClasses::GKNN | virtual |
confusion(GMatrix &features, GMatrix &labels, std::vector< GMatrix * > &stats) | GClasses::GSupervisedLearner | |
crossValidate(const GMatrix &features, const GMatrix &labels, size_t nFolds, double *pOutSAE=NULL, RepValidateCallback pCB=NULL, size_t nRep=0, void *pThis=NULL) | GClasses::GTransducer | |
DrawRandom enum value | GClasses::GKNN | |
drawRandom(size_t n) | GClasses::GKNN | inline |
features() | GClasses::GKNN | inline |
findNeighbors(const GVec &vector) | GClasses::GKNN | protected |
GIncrementalLearner() | GClasses::GIncrementalLearner | inline |
GIncrementalLearner(const GDomNode *pNode) | GClasses::GIncrementalLearner | inline |
GKNN() | GClasses::GKNN | |
GKNN(const GDomNode *pNode) | GClasses::GKNN | |
GSupervisedLearner() | GClasses::GSupervisedLearner | |
GSupervisedLearner(const GDomNode *pNode) | GClasses::GSupervisedLearner | |
GTransducer() | GClasses::GTransducer | |
GTransducer(const GTransducer &that) | GClasses::GTransducer | inline |
interpolateLearner(size_t nc, const GVec &in, GPrediction *pOut, GVec *pOut2) | GClasses::GKNN | protected |
interpolateLinear(size_t nc, const GVec &in, GPrediction *pOut, GVec *pOut2) | GClasses::GKNN | protected |
interpolateMean(size_t nc, const GVec &in, GPrediction *pOut, GVec *pOut2) | GClasses::GKNN | protected |
InterpolationMethod enum name | GClasses::GKNN | |
isFilter() | GClasses::GIncrementalLearner | inlinevirtual |
labels() | GClasses::GKNN | inline |
Learner enum value | GClasses::GKNN | |
Linear enum value | GClasses::GKNN | |
m_bOwnLearner | GClasses::GKNN | protected |
m_eInterpolationMethod | GClasses::GKNN | protected |
m_eTrainMethod | GClasses::GKNN | protected |
m_nNeighbors | GClasses::GKNN | protected |
m_normalizeScaleFactors | GClasses::GKNN | protected |
m_optimizeScaleFactors | GClasses::GKNN | protected |
m_ownMetric | GClasses::GKNN | protected |
m_pCritic | GClasses::GKNN | protected |
m_pDistanceMetric | GClasses::GKNN | protected |
m_pFeatures | GClasses::GKNN | protected |
m_pLabels | GClasses::GKNN | protected |
m_pLearner | GClasses::GKNN | protected |
m_pNeighborFinder | GClasses::GKNN | protected |
m_pRelFeatures | GClasses::GSupervisedLearner | protected |
m_pRelLabels | GClasses::GSupervisedLearner | protected |
m_pScaleFactorOptimizer | GClasses::GKNN | protected |
m_pSparseFeatures | GClasses::GKNN | protected |
m_pSparseMetric | GClasses::GKNN | protected |
m_rand | GClasses::GTransducer | protected |
m_trainParam | GClasses::GKNN | protected |
m_valueCounts | GClasses::GKNN | protected |
Mean enum value | GClasses::GKNN | |
metric() | GClasses::GKNN | inline |
neighborCount() | GClasses::GKNN | inline |
operator=(const GTransducer &other) | GClasses::GTransducer | inline |
precisionRecall(double *pOutPrecision, size_t nPrecisionSize, GMatrix &features, GMatrix &labels, size_t label, size_t nReps) | GClasses::GSupervisedLearner | |
precisionRecallContinuous(GPrediction *pOutput, double *pFunc, GMatrix &trainFeatures, GMatrix &trainLabels, GMatrix &testFeatures, GMatrix &testLabels, size_t label) | GClasses::GSupervisedLearner | protected |
precisionRecallNominal(GPrediction *pOutput, double *pFunc, GMatrix &trainFeatures, GMatrix &trainLabels, GMatrix &testFeatures, GMatrix &testLabels, size_t label, int value) | GClasses::GSupervisedLearner | protected |
predict(const GVec &in, GVec &out) | GClasses::GKNN | virtual |
predictDistribution(const GVec &in, GPrediction *pOut) | GClasses::GKNN | virtual |
rand() | GClasses::GTransducer | inline |
relFeatures() | GClasses::GSupervisedLearner | |
relLabels() | GClasses::GSupervisedLearner | |
repValidate(const GMatrix &features, const GMatrix &labels, size_t reps, size_t nFolds, double *pOutSAE=NULL, RepValidateCallback pCB=NULL, void *pThis=NULL) | GClasses::GTransducer | |
serialize(GDom *pDoc) const | GClasses::GKNN | virtual |
setInterpolationLearner(GSupervisedLearner *pLearner, bool bTakeOwnership) | GClasses::GKNN | |
setInterpolationMethod(InterpolationMethod eMethod) | GClasses::GKNN | |
setMetric(GDistanceMetric *pMetric, bool own) | GClasses::GKNN | |
setMetric(GSparseSimilarity *pMetric, bool own) | GClasses::GKNN | |
setNeighborCount(size_t k) | GClasses::GKNN | |
setNormalizeScaleFactors(bool b) | GClasses::GKNN | |
setOptimizeScaleFactors(bool b) | GClasses::GKNN | |
setupFilters(const GMatrix &features, const GMatrix &labels) | GClasses::GSupervisedLearner | protected |
sparseFeatures() | GClasses::GKNN | inline |
StoreAll enum value | GClasses::GKNN | |
sumSquaredError(const GMatrix &features, const GMatrix &labels, double *pOutSAE=NULL) | GClasses::GSupervisedLearner | |
supportedFeatureRange(double *pOutMin, double *pOutMax) | GClasses::GTransducer | inlinevirtual |
supportedLabelRange(double *pOutMin, double *pOutMax) | GClasses::GTransducer | inlinevirtual |
test() | GClasses::GKNN | static |
train(const GMatrix &features, const GMatrix &labels) | GClasses::GSupervisedLearner | |
trainAndTest(const GMatrix &trainFeatures, const GMatrix &trainLabels, const GMatrix &testFeatures, const GMatrix &testLabels, double *pOutSAE=NULL) | GClasses::GSupervisedLearner | virtual |
trainIncremental(const GVec &in, const GVec &out) | GClasses::GKNN | protectedvirtual |
trainInner(const GMatrix &features, const GMatrix &labels) | GClasses::GKNN | protectedvirtual |
TrainMethod enum name | GClasses::GKNN | |
trainSparse(GSparseMatrix &features, GMatrix &labels) | GClasses::GKNN | virtual |
transduce(const GMatrix &features1, const GMatrix &labels1, const GMatrix &features2) | GClasses::GTransducer | |
transduceInner(const GMatrix &features1, const GMatrix &labels1, const GMatrix &features2) | GClasses::GSupervisedLearner | protectedvirtual |
transductiveConfusionMatrix(const GMatrix &trainFeatures, const GMatrix &trainLabels, const GMatrix &testFeatures, const GMatrix &testLabels, std::vector< GMatrix * > &stats) | GClasses::GTransducer | |
ValidationPrune enum value | GClasses::GKNN | |
~GIncrementalLearner() | GClasses::GIncrementalLearner | inlinevirtual |
~GKNN() | GClasses::GKNN | virtual |
~GSupervisedLearner() | GClasses::GSupervisedLearner | virtual |
~GTransducer() | GClasses::GTransducer | virtual |