GClasses::GDecisionTree Member List

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

addInterpolatedFunction(double *pOut, size_t nOutVals, double *pIn, size_t nInVals)	GClasses::GSupervisedLearner	protectedstatic
autoTune(GMatrix &features, GMatrix &labels)	GClasses::GDecisionTree
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
buildBranch(GMatrix &features, GMatrix &labels, std::vector< size_t > &attrPool, size_t nDepth, size_t tolerance)	GClasses::GDecisionTree	protected
canGeneralize()	GClasses::GSupervisedLearner	inlinevirtual
canImplicitlyHandleContinuousFeatures()	GClasses::GTransducer	inlinevirtual
canImplicitlyHandleContinuousLabels()	GClasses::GTransducer	inlinevirtual
canImplicitlyHandleMissingFeatures()	GClasses::GTransducer	inlinevirtual
canImplicitlyHandleNominalFeatures()	GClasses::GTransducer	inlinevirtual
canImplicitlyHandleNominalLabels()	GClasses::GTransducer	inlinevirtual
canTrainIncrementally()	GClasses::GTransducer	inlinevirtual
clear()	GClasses::GDecisionTree	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
DivisionAlgorithm enum name	GClasses::GDecisionTree
findLeaf(const GVec &pIn, size_t *pDepth)	GClasses::GDecisionTree	protected
GDecisionTree()	GClasses::GDecisionTree
GDecisionTree(const GDomNode *pNode)	GClasses::GDecisionTree
GSupervisedLearner()	GClasses::GSupervisedLearner
GSupervisedLearner(const GDomNode *pNode)	GClasses::GSupervisedLearner
GTransducer()	GClasses::GTransducer
GTransducer(const GTransducer &that)	GClasses::GTransducer	inline
isBinary()	GClasses::GDecisionTree	inline
isFilter()	GClasses::GSupervisedLearner	inlinevirtual
leafThresh()	GClasses::GDecisionTree	inline
m_binaryDivisions	GClasses::GDecisionTree	protected
m_eAlg	GClasses::GDecisionTree	protected
m_leafThresh	GClasses::GDecisionTree	protected
m_maxLevels	GClasses::GDecisionTree	protected
m_pRelFeatures	GClasses::GSupervisedLearner	protected
m_pRelLabels	GClasses::GSupervisedLearner	protected
m_pRoot	GClasses::GDecisionTree	protected
m_rand	GClasses::GTransducer	protected
m_randomDraws	GClasses::GDecisionTree	protected
measureInfoGain(GMatrix *pData, size_t nAttribute, double *pPivot)	GClasses::GDecisionTree	protected
MINIMIZE_ENTROPY enum value	GClasses::GDecisionTree
operator=(const GTransducer &other)	GClasses::GTransducer	inline
pickDivision(GMatrix &features, GMatrix &labels, double *pPivot, std::vector< size_t > &attrPool, size_t nDepth)	GClasses::GDecisionTree	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 GVec &pIn, GVec &pOut)	GClasses::GDecisionTree	virtual
predictDistribution(const GVec &pIn, GPrediction *pOut)	GClasses::GDecisionTree	virtual
print(std::ostream &stream, GArffRelation *pFeatureRel=NULL, GArffRelation *pLabelRel=NULL)	GClasses::GDecisionTree
rand()	GClasses::GTransducer	inline
RANDOM enum value	GClasses::GDecisionTree
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::GDecisionTree	virtual
setLeafThresh(size_t n)	GClasses::GDecisionTree	inline
setMaxLevels(size_t n)	GClasses::GDecisionTree	inline
setupFilters(const GMatrix &features, const GMatrix &labels)	GClasses::GSupervisedLearner	protected
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::GDecisionTree	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::GDecisionTree	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
treeSize()	GClasses::GDecisionTree
useBinaryDivisions()	GClasses::GDecisionTree
useRandomDivisions(size_t randomDraws=1)	GClasses::GDecisionTree	inline
~GDecisionTree()	GClasses::GDecisionTree	virtual
~GSupervisedLearner()	GClasses::GSupervisedLearner	virtual
~GTransducer()	GClasses::GTransducer	virtual