GClasses
GClasses::GBayesianModelAveraging Member List

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::GSupervisedLearnerprotectedstatic
addLearner(GSupervisedLearner *pLearner)GClasses::GBag
baseDomNode(GDom *pDoc, const char *szClassName) const GClasses::GSupervisedLearnerprotected
basicTest(double minAccuracy1, double minAccuracy2, double deviation=1e-6, bool printAccuracy=false, double warnRange=0.035)GClasses::GSupervisedLearner
canGeneralize()GClasses::GSupervisedLearnerinlinevirtual
canImplicitlyHandleContinuousFeatures()GClasses::GTransducerinlinevirtual
canImplicitlyHandleContinuousLabels() overrideGClasses::GBayesianModelAveraginginlineprotectedvirtual
canImplicitlyHandleMissingFeatures()GClasses::GTransducerinlinevirtual
canImplicitlyHandleNominalFeatures()GClasses::GTransducerinlinevirtual
canImplicitlyHandleNominalLabels()GClasses::GTransducerinlinevirtual
canTrainIncrementally()GClasses::GTransducerinlinevirtual
castVote(double weight, const GVec &label)GClasses::GEnsemble
clear()GClasses::GBagvirtual
clearBase()GClasses::GEnsembleprotectedvirtual
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) overrideGClasses::GBayesianModelAveragingprotectedvirtual
flush()GClasses::GBag
GBag()GClasses::GBag
GBag(const GDomNode *pNode, GLearnerLoader &ll)GClasses::GBag
GBayesianModelAveraging()GClasses::GBayesianModelAveraginginline
GBayesianModelAveraging(const GDomNode *pNode, GLearnerLoader &ll)GClasses::GBayesianModelAveraginginline
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::GTransducerinline
isFilter()GClasses::GSupervisedLearnerinlinevirtual
m_accumulatorGClasses::GEnsembleprotected
m_modelsGClasses::GEnsembleprotected
m_pCBGClasses::GBagprotected
m_pLabelRelGClasses::GEnsembleprotected
m_pPredictInputGClasses::GEnsemble
m_pPredictMasterGClasses::GEnsembleprotected
m_pRelFeaturesGClasses::GSupervisedLearnerprotected
m_pRelLabelsGClasses::GSupervisedLearnerprotected
m_pThisGClasses::GBagprotected
m_randGClasses::GTransducerprotected
m_trainSizeGClasses::GBagprotected
m_workerThreadsGClasses::GEnsembleprotected
models()GClasses::GEnsembleinline
normalizeWeights()GClasses::GEnsembleprotected
operator=(const GTransducer &other)GClasses::GTransducerinline
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::GSupervisedLearnerprotected
precisionRecallNominal(GPrediction *pOutput, double *pFunc, GMatrix &trainFeatures, GMatrix &trainLabels, GMatrix &testFeatures, GMatrix &testLabels, size_t label, int value)GClasses::GSupervisedLearnerprotected
predict(const GVec &in, GVec &out)GClasses::GEnsemblevirtual
predictDistribution(const GVec &in, GPrediction *pOut)GClasses::GEnsemblevirtual
rand()GClasses::GTransducerinline
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 overrideGClasses::GBayesianModelAveragingvirtual
serializeBase(GDom *pDoc, GDomNode *pNode) const GClasses::GEnsembleprotectedvirtual
setProgressCallback(EnsembleProgressCallback pCB, void *pThis)GClasses::GBaginline
setupFilters(const GMatrix &features, const GMatrix &labels)GClasses::GSupervisedLearnerprotected
setWorkerThreads(size_t count)GClasses::GEnsembleinline
sumSquaredError(const GMatrix &features, const GMatrix &labels, double *pOutSAE=NULL)GClasses::GSupervisedLearner
supportedFeatureRange(double *pOutMin, double *pOutMax)GClasses::GTransducerinlinevirtual
supportedLabelRange(double *pOutMin, double *pOutMax)GClasses::GTransducerinlinevirtual
tally(GPrediction *pOut)GClasses::GEnsembleprotected
tally(GVec &label)GClasses::GEnsembleprotected
test()GClasses::GBayesianModelAveragingstatic
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::GSupervisedLearnervirtual
trainInner(const GMatrix &features, const GMatrix &labels)GClasses::GEnsembleprotectedvirtual
trainInnerInner(const GMatrix &features, const GMatrix &labels)GClasses::GBagprotectedvirtual
transduce(const GMatrix &features1, const GMatrix &labels1, const GMatrix &features2)GClasses::GTransducer
transduceInner(const GMatrix &features1, const GMatrix &labels1, const GMatrix &features2)GClasses::GSupervisedLearnerprotectedvirtual
transductiveConfusionMatrix(const GMatrix &trainFeatures, const GMatrix &trainLabels, const GMatrix &testFeatures, const GMatrix &testLabels, std::vector< GMatrix * > &stats)GClasses::GTransducer
~GBag()GClasses::GBagvirtual
~GBayesianModelAveraging()GClasses::GBayesianModelAveraginginlinevirtual
~GEnsemble()GClasses::GEnsemblevirtual
~GSupervisedLearner()GClasses::GSupervisedLearnervirtual
~GTransducer()GClasses::GTransducervirtual