GClasses

GClasses::GDecisionTree Member List

This is the complete list of members for GClasses::GDecisionTree, including all inherited members.
accuracy(GMatrix &features, GMatrix &labels, double *pOutResults, std::vector< GMatrix * > *pNominalLabelStats=NULL)GClasses::GSupervisedLearner
autoTune(GMatrix &features, GMatrix &labels)GClasses::GDecisionTree
baseDomNode(GDom *pDoc, const char *szClassName)GClasses::GSupervisedLearner [protected]
basicTest(double minAccuracy1, double minAccuracy2, double deviation=1e-6, bool printAccuracy=false)GClasses::GSupervisedLearner
buildBranch(GMatrix &features, GMatrix &labels, std::vector< size_t > &attrPool, size_t nDepth, size_t tolerance)GClasses::GDecisionTree [protected]
calibrate(GMatrix &features, GMatrix &labels)GClasses::GSupervisedLearner
canGeneralize()GClasses::GSupervisedLearner [inline, virtual]
canImplicitlyHandleContinuousFeatures()GClasses::GTransducer [inline, protected, virtual]
canImplicitlyHandleContinuousLabels()GClasses::GTransducer [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]
clear()GClasses::GDecisionTree [virtual]
crossValidate(GMatrix &features, GMatrix &labels, size_t nFolds, RepValidateCallback pCB=NULL, size_t nRep=0, void *pThis=NULL)GClasses::GTransducer
DivisionAlgorithm enum nameGClasses::GDecisionTree
featureDims()GClasses::GSupervisedLearner [inline]
featureFilter()GClasses::GSupervisedLearner [inline]
findLeaf(const double *pIn, size_t *pDepth)GClasses::GDecisionTree [protected]
GDecisionTree(GRand &rand)GClasses::GDecisionTree
GDecisionTree(GDomNode *pNode, GLearnerLoader &ll)GClasses::GDecisionTree
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]
leafThresh()GClasses::GDecisionTree [inline]
m_autoFilterGClasses::GSupervisedLearner [protected]
m_eAlgGClasses::GDecisionTree [protected]
m_featureDimsGClasses::GSupervisedLearner [protected]
m_labelDimsGClasses::GSupervisedLearner [protected]
m_leafThreshGClasses::GDecisionTree [protected]
m_maxLevelsGClasses::GDecisionTree [protected]
m_pCalibrationsGClasses::GSupervisedLearner [protected]
m_pFeatureFilterGClasses::GSupervisedLearner [protected]
m_pFeatureRelGClasses::GDecisionTree [protected]
m_pLabelFilterGClasses::GSupervisedLearner [protected]
m_pLabelRelGClasses::GDecisionTree [protected]
m_pRootGClasses::GDecisionTree [protected]
m_randGClasses::GTransducer [protected]
m_randomDrawsGClasses::GDecisionTree [protected]
measureInfoGain(GMatrix *pData, size_t nAttribute, double *pPivot)GClasses::GDecisionTree [protected]
MINIMIZE_ENTROPY enum valueGClasses::GDecisionTree
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 double *pIn, double *pOut)GClasses::GSupervisedLearner
predictDistribution(const double *pIn, GPrediction *pOut)GClasses::GSupervisedLearner
predictDistributionInner(const double *pIn, GPrediction *pOut)GClasses::GDecisionTree [protected, virtual]
predictInner(const double *pIn, double *pOut)GClasses::GDecisionTree [protected, virtual]
print(std::ostream &stream, GArffRelation *pFeatureRel=NULL, GArffRelation *pLabelRel=NULL)GClasses::GDecisionTree
rand()GClasses::GTransducer [inline]
RANDOM enum valueGClasses::GDecisionTree
repValidate(GMatrix &features, GMatrix &labels, size_t reps, size_t nFolds, RepValidateCallback pCB=NULL, void *pThis=NULL)GClasses::GTransducer
serialize(GDom *pDoc)GClasses::GDecisionTree [virtual]
setAutoFilter(bool b)GClasses::GSupervisedLearner [inline]
setFeatureFilter(GTwoWayIncrementalTransform *pFilter)GClasses::GSupervisedLearner
setLabelFilter(GTwoWayIncrementalTransform *pFilter)GClasses::GSupervisedLearner
setLeafThresh(size_t n)GClasses::GDecisionTree [inline]
setMaxLevels(size_t n)GClasses::GDecisionTree [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]
test()GClasses::GDecisionTree [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::GDecisionTree [protected, virtual]
transduce(GMatrix &features1, GMatrix &labels1, GMatrix &features2)GClasses::GTransducer
transduceInner(GMatrix &features1, GMatrix &labels1, GMatrix &features2)GClasses::GSupervisedLearner [protected, virtual]
treeSize()GClasses::GDecisionTree
useRandomDivisions(size_t randomDraws=1)GClasses::GDecisionTree [inline]
~GDecisionTree()GClasses::GDecisionTree [virtual]
~GSupervisedLearner()GClasses::GSupervisedLearner [virtual]
~GTransducer()GClasses::GTransducer [virtual]