GClasses::GResamplingAdaBoost Member List

This is the complete list of members for GClasses::GResamplingAdaBoost, including all inherited members.

addInterpolatedFunction(double *pOut, size_t nOutVals, double *pIn, size_t nInVals)	GClasses::GSupervisedLearner	protectedstatic
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()	GClasses::GResamplingAdaBoost	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::GResamplingAdaBoost	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
GEnsemble()	GClasses::GEnsemble
GEnsemble(const GDomNode *pNode, GLearnerLoader &ll)	GClasses::GEnsemble
GResamplingAdaBoost(GSupervisedLearner *pLearner, bool ownLearner, GLearnerLoader *pLoader)	GClasses::GResamplingAdaBoost
GResamplingAdaBoost(const GDomNode *pNode, GLearnerLoader &ll)	GClasses::GResamplingAdaBoost
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_ensembleSize	GClasses::GResamplingAdaBoost	protected
m_models	GClasses::GEnsemble	protected
m_ownLearner	GClasses::GResamplingAdaBoost	protected
m_pLabelRel	GClasses::GEnsemble	protected
m_pLearner	GClasses::GResamplingAdaBoost	protected
m_pLoader	GClasses::GResamplingAdaBoost	protected
m_pPredictInput	GClasses::GEnsemble
m_pPredictMaster	GClasses::GEnsemble	protected
m_pRelFeatures	GClasses::GSupervisedLearner	protected
m_pRelLabels	GClasses::GSupervisedLearner	protected
m_rand	GClasses::GTransducer	protected
m_trainSize	GClasses::GResamplingAdaBoost	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	GClasses::GResamplingAdaBoost	virtual
serializeBase(GDom *pDoc, GDomNode *pNode) const	GClasses::GEnsemble	protectedvirtual
setSize(size_t n)	GClasses::GResamplingAdaBoost	inline
setTrainSize(double d)	GClasses::GResamplingAdaBoost	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::GResamplingAdaBoost	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::GResamplingAdaBoost	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
~GEnsemble()	GClasses::GEnsemble	virtual
~GResamplingAdaBoost()	GClasses::GResamplingAdaBoost	virtual
~GSupervisedLearner()	GClasses::GSupervisedLearner	virtual
~GTransducer()	GClasses::GTransducer	virtual