GClasses
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This is the complete list of members for GClasses::GIncrementalLearner, 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 | |
beginIncrementalLearning(const GRelation &featureRel, const GRelation &labelRel) | GClasses::GIncrementalLearner | |
beginIncrementalLearning(const GMatrix &features, const GMatrix &labels) | GClasses::GIncrementalLearner | |
beginIncrementalLearningInner(const GRelation &featureRel, const GRelation &labelRel)=0 | GClasses::GIncrementalLearner | protectedpure virtual |
beginIncrementalLearningInner(const GMatrix &features, const GMatrix &labels) | GClasses::GIncrementalLearner | inlineprotectedvirtual |
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::GIncrementalLearner | inlinevirtual |
clear()=0 | GClasses::GSupervisedLearner | pure 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 | |
GIncrementalLearner() | GClasses::GIncrementalLearner | inline |
GIncrementalLearner(const GDomNode *pNode) | GClasses::GIncrementalLearner | inline |
GSupervisedLearner() | GClasses::GSupervisedLearner | |
GSupervisedLearner(const GDomNode *pNode) | GClasses::GSupervisedLearner | |
GTransducer() | GClasses::GTransducer | |
GTransducer(const GTransducer &that) | GClasses::GTransducer | inline |
isFilter() | GClasses::GIncrementalLearner | inlinevirtual |
m_pRelFeatures | GClasses::GSupervisedLearner | protected |
m_pRelLabels | GClasses::GSupervisedLearner | protected |
m_rand | GClasses::GTransducer | 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)=0 | GClasses::GSupervisedLearner | pure virtual |
predictDistribution(const GVec &in, GPrediction *pOut)=0 | GClasses::GSupervisedLearner | pure 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 =0 | GClasses::GSupervisedLearner | pure virtual |
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::GSupervisedLearner | 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 |
trainIncremental(const GVec &in, const GVec &out)=0 | GClasses::GIncrementalLearner | pure virtual |
trainInner(const GMatrix &features, const GMatrix &labels)=0 | GClasses::GSupervisedLearner | protectedpure virtual |
trainSparse(GSparseMatrix &features, GMatrix &labels)=0 | GClasses::GIncrementalLearner | pure virtual |
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 | |
~GIncrementalLearner() | GClasses::GIncrementalLearner | inlinevirtual |
~GSupervisedLearner() | GClasses::GSupervisedLearner | virtual |
~GTransducer() | GClasses::GTransducer | virtual |