GClasses
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This is the complete list of members for GClasses::GBayesianModelAveraging, including all inherited members.
addInterpolatedFunction(double *pOut, size_t nOutVals, double *pIn, size_t nInVals) | GClasses::GSupervisedLearner | protectedstatic |
addLearner(GSupervisedLearner *pLearner) | GClasses::GBag | |
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 | |
canGeneralize() | GClasses::GSupervisedLearner | inlinevirtual |
canImplicitlyHandleContinuousFeatures() | GClasses::GTransducer | inlinevirtual |
canImplicitlyHandleContinuousLabels() override | GClasses::GBayesianModelAveraging | inlineprotectedvirtual |
canImplicitlyHandleMissingFeatures() | GClasses::GTransducer | inlinevirtual |
canImplicitlyHandleNominalFeatures() | GClasses::GTransducer | inlinevirtual |
canImplicitlyHandleNominalLabels() | GClasses::GTransducer | inlinevirtual |
canTrainIncrementally() | GClasses::GTransducer | inlinevirtual |
castVote(double weight, const GVec &label) | GClasses::GEnsemble | |
clear() | GClasses::GBag | virtual |
clearBase() | GClasses::GEnsemble | protectedvirtual |
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 | |
determineWeights(const GMatrix &features, const GMatrix &labels) override | GClasses::GBayesianModelAveraging | protectedvirtual |
flush() | GClasses::GBag | |
GBag() | GClasses::GBag | |
GBag(const GDomNode *pNode, GLearnerLoader &ll) | GClasses::GBag | |
GBayesianModelAveraging() | GClasses::GBayesianModelAveraging | inline |
GBayesianModelAveraging(const GDomNode *pNode, GLearnerLoader &ll) | GClasses::GBayesianModelAveraging | inline |
GEnsemble() | GClasses::GEnsemble | |
GEnsemble(const GDomNode *pNode, GLearnerLoader &ll) | GClasses::GEnsemble | |
GSupervisedLearner() | GClasses::GSupervisedLearner | |
GSupervisedLearner(const GDomNode *pNode) | GClasses::GSupervisedLearner | |
GTransducer() | GClasses::GTransducer | |
GTransducer(const GTransducer &that) | GClasses::GTransducer | inline |
isFilter() | GClasses::GSupervisedLearner | inlinevirtual |
m_accumulator | GClasses::GEnsemble | protected |
m_models | GClasses::GEnsemble | protected |
m_pCB | GClasses::GBag | protected |
m_pLabelRel | GClasses::GEnsemble | protected |
m_pPredictInput | GClasses::GEnsemble | |
m_pPredictMaster | GClasses::GEnsemble | protected |
m_pRelFeatures | GClasses::GSupervisedLearner | protected |
m_pRelLabels | GClasses::GSupervisedLearner | protected |
m_pThis | GClasses::GBag | protected |
m_rand | GClasses::GTransducer | protected |
m_trainSize | GClasses::GBag | protected |
m_workerThreads | GClasses::GEnsemble | protected |
models() | GClasses::GEnsemble | inline |
normalizeWeights() | GClasses::GEnsemble | protected |
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::GEnsemble | virtual |
predictDistribution(const GVec &in, GPrediction *pOut) | GClasses::GEnsemble | 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 override | GClasses::GBayesianModelAveraging | virtual |
serializeBase(GDom *pDoc, GDomNode *pNode) const | GClasses::GEnsemble | protectedvirtual |
setProgressCallback(EnsembleProgressCallback pCB, void *pThis) | GClasses::GBag | inline |
setupFilters(const GMatrix &features, const GMatrix &labels) | GClasses::GSupervisedLearner | protected |
setWorkerThreads(size_t count) | GClasses::GEnsemble | inline |
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 |
tally(GPrediction *pOut) | GClasses::GEnsemble | protected |
tally(GVec &label) | GClasses::GEnsemble | protected |
test() | GClasses::GBayesianModelAveraging | 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 |
trainInner(const GMatrix &features, const GMatrix &labels) | GClasses::GEnsemble | protectedvirtual |
trainInnerInner(const GMatrix &features, const GMatrix &labels) | GClasses::GBag | protectedvirtual |
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 | |
~GBag() | GClasses::GBag | virtual |
~GBayesianModelAveraging() | GClasses::GBayesianModelAveraging | inlinevirtual |
~GEnsemble() | GClasses::GEnsemble | virtual |
~GSupervisedLearner() | GClasses::GSupervisedLearner | virtual |
~GTransducer() | GClasses::GTransducer | virtual |