GClasses

GClasses::GAdaBoost Member List

This is the complete list of members for GClasses::GAdaBoost, including all inherited members.
accuracy(GMatrix &features, GMatrix &labels, double *pOutResults, std::vector< GMatrix * > *pNominalLabelStats=NULL)GClasses::GSupervisedLearner
baseDomNode(GDom *pDoc, const char *szClassName)GClasses::GSupervisedLearner [protected]
basicTest(double minAccuracy1, double minAccuracy2, double deviation=1e-6, bool printAccuracy=false)GClasses::GSupervisedLearner
calibrate(GMatrix &features, GMatrix &labels)GClasses::GSupervisedLearner
canGeneralize()GClasses::GSupervisedLearner [inline, virtual]
canImplicitlyHandleContinuousFeatures()GClasses::GTransducer [inline, protected, virtual]
canImplicitlyHandleContinuousLabels()GClasses::GAdaBoost [inline, protected, virtual]
canImplicitlyHandleMissingFeatures()GClasses::GTransducer [inline, protected, virtual]
canImplicitlyHandleNominalFeatures()GClasses::GTransducer [inline, protected, virtual]
canImplicitlyHandleNominalLabels()GClasses::GTransducer [inline, protected, virtual]
canTrainIncrementally()GClasses::GTransducer [inline, virtual]
castVote(double weight, const double *pOut)GClasses::GEnsemble [protected]
clear()GClasses::GAdaBoost [virtual]
clearBase()GClasses::GEnsemble [protected, virtual]
crossValidate(GMatrix &features, GMatrix &labels, size_t nFolds, RepValidateCallback pCB=NULL, size_t nRep=0, void *pThis=NULL)GClasses::GTransducer
featureDims()GClasses::GSupervisedLearner [inline]
featureFilter()GClasses::GSupervisedLearner [inline]
GAdaBoost(GSupervisedLearner *pLearner, bool ownLearner, GLearnerLoader *pLoader)GClasses::GAdaBoost
GAdaBoost(GDomNode *pNode, GLearnerLoader &ll)GClasses::GAdaBoost
GEnsemble(GRand &rand)GClasses::GEnsemble
GEnsemble(GDomNode *pNode, GLearnerLoader &ll)GClasses::GEnsemble
GSupervisedLearner(GRand &rand)GClasses::GSupervisedLearner
GSupervisedLearner(GDomNode *pNode, GLearnerLoader &ll)GClasses::GSupervisedLearner
GTransducer(GRand &rand)GClasses::GTransducer
heuristicValidate(GMatrix &features, GMatrix &labels)GClasses::GTransducer
labelDims()GClasses::GSupervisedLearner [inline]
labelFilter()GClasses::GSupervisedLearner [inline]
m_autoFilterGClasses::GSupervisedLearner [protected]
m_ensembleSizeGClasses::GAdaBoost [protected]
m_featureDimsGClasses::GSupervisedLearner [protected]
m_labelDimsGClasses::GSupervisedLearner [protected]
m_modelsGClasses::GEnsemble [protected]
m_nAccumulatorDimsGClasses::GEnsemble [protected]
m_ownLearnerGClasses::GAdaBoost [protected]
m_pAccumulatorGClasses::GEnsemble [protected]
m_pCalibrationsGClasses::GSupervisedLearner [protected]
m_pFeatureFilterGClasses::GSupervisedLearner [protected]
m_pLabelFilterGClasses::GSupervisedLearner [protected]
m_pLabelRelGClasses::GEnsemble [protected]
m_pLearnerGClasses::GAdaBoost [protected]
m_pLoaderGClasses::GAdaBoost [protected]
m_randGClasses::GTransducer [protected]
m_trainSizeGClasses::GAdaBoost [protected]
normalizeWeights()GClasses::GEnsemble [protected]
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 double *pIn, double *pOut)GClasses::GSupervisedLearner
predictDistribution(const double *pIn, GPrediction *pOut)GClasses::GSupervisedLearner
predictDistributionInner(const double *pIn, GPrediction *pOut)GClasses::GEnsemble [protected, virtual]
predictInner(const double *pIn, double *pOut)GClasses::GEnsemble [protected, virtual]
rand()GClasses::GTransducer [inline]
repValidate(GMatrix &features, GMatrix &labels, size_t reps, size_t nFolds, RepValidateCallback pCB=NULL, void *pThis=NULL)GClasses::GTransducer
serialize(GDom *pDoc)GClasses::GAdaBoost [virtual]
serializeBase(GDom *pDoc, GDomNode *pNode)GClasses::GEnsemble [protected, virtual]
setAutoFilter(bool b)GClasses::GSupervisedLearner [inline]
setFeatureFilter(GTwoWayIncrementalTransform *pFilter)GClasses::GSupervisedLearner
setLabelFilter(GTwoWayIncrementalTransform *pFilter)GClasses::GSupervisedLearner
setSize(size_t n)GClasses::GAdaBoost [inline]
setTrainSize(double d)GClasses::GAdaBoost [inline]
setupFilters(GMatrix &features, GMatrix &labels)GClasses::GSupervisedLearner [protected]
supportedFeatureRange(double *pOutMin, double *pOutMax)GClasses::GTransducer [inline, protected, virtual]
supportedLabelRange(double *pOutMin, double *pOutMax)GClasses::GTransducer [inline, protected, virtual]
tally(GPrediction *pOut)GClasses::GEnsemble [protected]
tally(double *pOut)GClasses::GEnsemble [protected]
test()GClasses::GAdaBoost [static]
train(GMatrix &features, GMatrix &labels)GClasses::GSupervisedLearner
trainAndTest(GMatrix &trainFeatures, GMatrix &trainLabels, GMatrix &testFeatures, GMatrix &testLabels, double *pOutResults, std::vector< GMatrix * > *pNominalLabelStats=NULL)GClasses::GSupervisedLearner [virtual]
trainInner(GMatrix &features, GMatrix &labels)GClasses::GEnsemble [protected, virtual]
trainInnerInner(GMatrix &features, GMatrix &labels)GClasses::GAdaBoost [protected, virtual]
transduce(GMatrix &features1, GMatrix &labels1, GMatrix &features2)GClasses::GTransducer
transduceInner(GMatrix &features1, GMatrix &labels1, GMatrix &features2)GClasses::GSupervisedLearner [protected, virtual]
~GAdaBoost()GClasses::GAdaBoost [virtual]
~GEnsemble()GClasses::GEnsemble [virtual]
~GSupervisedLearner()GClasses::GSupervisedLearner [virtual]
~GTransducer()GClasses::GTransducer [virtual]