SG++-Doxygen-Documentation
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This is the complete list of members for sgpp::datadriven::Learner, including all inherited members.
alpha | sgpp::datadriven::LearnerBase | protected |
CMode | sgpp::datadriven::Learner | protected |
createDMSystem(sgpp::base::DataMatrix &trainDataset, double lambda) | sgpp::datadriven::Learner | protectedvirtual |
currentRefinementStep | sgpp::datadriven::LearnerBase | protected |
dumpFunction(std::string tFilename, size_t resolution) | sgpp::datadriven::LearnerBase | |
dumpGrid(std::string tFilename) | sgpp::datadriven::LearnerBase | |
execTime | sgpp::datadriven::LearnerBase | protected |
ExecTimeOnStep | sgpp::datadriven::LearnerBase | protected |
GByte | sgpp::datadriven::LearnerBase | protected |
getAccuracy(sgpp::base::DataMatrix &testDataset, const sgpp::base::DataVector &classesReference, const double threshold=0.0) | sgpp::datadriven::LearnerBase | virtual |
getAccuracy(const sgpp::base::DataVector &classesComputed, const sgpp::base::DataVector &classesReference, const double threshold=0.0) | sgpp::datadriven::LearnerBase | virtual |
getAlpha() | sgpp::datadriven::LearnerBase | |
getCassificatorQuality(sgpp::base::DataMatrix &testDataset, const sgpp::base::DataVector &classesReference, const double threshold=0.0) | sgpp::datadriven::LearnerBase | virtual |
getCassificatorQuality(const sgpp::base::DataVector &classesComputed, const sgpp::base::DataVector &classesReference, const double threshold=0.0) | sgpp::datadriven::LearnerBase | virtual |
getGrid() | sgpp::datadriven::LearnerBase | |
getIsRegression() const | sgpp::datadriven::LearnerBase | |
getIsVerbose() const | sgpp::datadriven::LearnerBase | |
getRefinementExecTimes() | sgpp::datadriven::LearnerBase | |
GFlop | sgpp::datadriven::LearnerBase | protected |
grid | sgpp::datadriven::LearnerBase | protected |
InitializeGrid(const sgpp::base::RegularGridConfiguration &GridConfig) | sgpp::datadriven::LearnerBase | protectedvirtual |
isRegression | sgpp::datadriven::LearnerBase | protected |
isTrained | sgpp::datadriven::LearnerBase | protected |
isVerbose | sgpp::datadriven::LearnerBase | protected |
Learner(sgpp::datadriven::RegularizationType ®ularization, const bool isRegression, const bool isVerbose=true) | sgpp::datadriven::Learner | |
LearnerBase(const bool isRegression, const bool isVerbose=true) | sgpp::datadriven::LearnerBase | explicit |
LearnerBase(const LearnerBase ©Me) | sgpp::datadriven::LearnerBase | |
multTranspose(sgpp::base::DataMatrix &dataset, sgpp::base::DataVector &multiplier, sgpp::base::DataVector &result) | sgpp::datadriven::LearnerBase | virtual |
postProcessing(const sgpp::base::DataMatrix &trainDataset, const sgpp::solver::SLESolverType &solver, const size_t numNeededIterations) | sgpp::datadriven::LearnerBase | protectedvirtual |
predict(sgpp::base::DataMatrix &testDataset, sgpp::base::DataVector &classesComputed) | sgpp::datadriven::LearnerBase | virtual |
preProcessing() | sgpp::datadriven::LearnerBase | protectedvirtual |
reuseCoefficients | sgpp::datadriven::LearnerBase | protected |
setIsVerbose(const bool isVerbose) | sgpp::datadriven::LearnerBase | |
setReuseCoefficients(bool reuseCoefficients) | sgpp::datadriven::LearnerBase | |
setSolverVerbose(bool solverVerbose) | sgpp::datadriven::LearnerBase | |
solverVerbose | sgpp::datadriven::LearnerBase | protected |
stepExecTime | sgpp::datadriven::LearnerBase | protected |
stepGByte | sgpp::datadriven::LearnerBase | protected |
stepGFlop | sgpp::datadriven::LearnerBase | protected |
store(std::string tGridFilename, std::string tAlphaFilename) | sgpp::datadriven::LearnerBase | |
train(sgpp::base::DataMatrix &trainDataset, sgpp::base::DataVector &classes, const sgpp::base::RegularGridConfiguration &GridConfig, const sgpp::solver::SLESolverConfiguration &SolverConfigRefine, const sgpp::solver::SLESolverConfiguration &SolverConfigFinal, const sgpp::base::AdaptivityConfiguration &AdaptConfig, bool testAccDuringAdapt, const double lambdaRegularization, sgpp::base::DataMatrix *testDataset=nullptr, sgpp::base::DataVector *testClasses=nullptr) | sgpp::datadriven::LearnerBase | virtual |
train(sgpp::base::DataMatrix &trainDataset, sgpp::base::DataVector &classes, const sgpp::base::RegularGridConfiguration &GridConfig, const sgpp::solver::SLESolverConfiguration &SolverConfig, const double lambdaRegularization) | sgpp::datadriven::LearnerBase | |
~Learner() | sgpp::datadriven::Learner | virtual |
~LearnerBase() | sgpp::datadriven::LearnerBase | virtual |