GClasses::GNeuralNetLearner Member List

This is the complete list of members for GClasses::GNeuralNetLearner, 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) override	GClasses::GNeuralNetLearner	protectedvirtual
GClasses::GIncrementalLearner::beginIncrementalLearningInner(const GMatrix &features, const GMatrix &labels)	GClasses::GIncrementalLearner	inlineprotectedvirtual
canGeneralize()	GClasses::GSupervisedLearner	inlinevirtual
canImplicitlyHandleContinuousFeatures()	GClasses::GTransducer	inlinevirtual
canImplicitlyHandleContinuousLabels()	GClasses::GTransducer	inlinevirtual
canImplicitlyHandleMissingFeatures() override	GClasses::GNeuralNetLearner	inlinevirtual
canImplicitlyHandleNominalFeatures() override	GClasses::GNeuralNetLearner	inlinevirtual
canImplicitlyHandleNominalLabels() override	GClasses::GNeuralNetLearner	inlinevirtual
canTrainIncrementally()	GClasses::GIncrementalLearner	inlinevirtual
clear() override	GClasses::GNeuralNetLearner	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
GNeuralNetLearner()	GClasses::GNeuralNetLearner
GNeuralNetLearner(const GDomNode *pNode)	GClasses::GNeuralNetLearner
GSupervisedLearner()	GClasses::GSupervisedLearner
GSupervisedLearner(const GDomNode *pNode)	GClasses::GSupervisedLearner
GTransducer()	GClasses::GTransducer
GTransducer(const GTransducer &that)	GClasses::GTransducer	inline
isFilter()	GClasses::GIncrementalLearner	inlinevirtual
m_nn	GClasses::GNeuralNetLearner	protected
m_pOptimizer	GClasses::GNeuralNetLearner	protected
m_pRelFeatures	GClasses::GSupervisedLearner	protected
m_pRelLabels	GClasses::GSupervisedLearner	protected
m_rand	GClasses::GTransducer	protected
m_ready	GClasses::GNeuralNetLearner	protected
nn()	GClasses::GNeuralNetLearner	inline
operator=(const GTransducer &other)	GClasses::GTransducer	inline
optimizer()	GClasses::GNeuralNetLearner
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) override	GClasses::GNeuralNetLearner	virtual
predictDistribution(const GVec &in, GPrediction *pOut) override	GClasses::GNeuralNetLearner	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 override	GClasses::GNeuralNetLearner	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) override	GClasses::GNeuralNetLearner	virtual
supportedLabelRange(double *pOutMin, double *pOutMax) override	GClasses::GNeuralNetLearner	virtual
test()	GClasses::GNeuralNetLearner	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) override	GClasses::GNeuralNetLearner	virtual
trainInner(const GMatrix &features, const GMatrix &labels) override	GClasses::GNeuralNetLearner	protectedvirtual
trainSparse(GSparseMatrix &features, GMatrix &labels) override	GClasses::GNeuralNetLearner	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
~GNeuralNetLearner()	GClasses::GNeuralNetLearner	virtual
~GSupervisedLearner()	GClasses::GSupervisedLearner	virtual
~GTransducer()	GClasses::GTransducer	virtual