SG++-Doxygen-Documentation
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This is the complete list of members for sgpp::datadriven::LearnerSGDE, including all inherited members.
adaptivityConfig | sgpp::datadriven::LearnerSGDE | protected |
alpha | sgpp::datadriven::LearnerSGDE | protected |
alphas | sgpp::datadriven::LearnerSGDE | protected |
appearances | sgpp::datadriven::LearnerSGDE | protected |
avgErrors | sgpp::datadriven::LearnerSGDE | |
computeRegularizationMatrix(base::Grid &grid) | sgpp::datadriven::LearnerSGDE | protected |
computeResidual(base::Grid &grid, base::DataVector &alpha, base::DataMatrix &test, double lambdaReg) | sgpp::datadriven::LearnerSGDE | protected |
corrcoef(base::DataMatrix &corr, base::DataMatrix *bounds=nullptr) | sgpp::datadriven::DensityEstimator | virtual |
cov(base::DataMatrix &cov, base::DataMatrix *bounds=nullptr) override | sgpp::datadriven::LearnerSGDE | virtual |
createRegularGrid() | sgpp::datadriven::LearnerSGDE | protected |
crossEntropy(sgpp::base::DataMatrix &samples) | sgpp::datadriven::DensityEstimator | |
crossvalidationConfig | sgpp::datadriven::LearnerSGDE | protected |
DensityEstimator() | sgpp::datadriven::DensityEstimator | |
error | sgpp::datadriven::LearnerSGDE | |
getAccuracy(base::DataMatrix &testDataset, const base::DataVector &referenceLabels, const double threshold) | sgpp::datadriven::LearnerSGDE | virtual |
getAccuracy(const base::DataVector &referenceLabels, const double threshold, const base::DataVector &predictedLabels) | sgpp::datadriven::LearnerSGDE | virtual |
getDim() override | sgpp::datadriven::LearnerSGDE | virtual |
getError(base::DataMatrix &data, const base::DataVector &labels, const double threshold, std::string errorType) | sgpp::datadriven::LearnerSGDE | virtual |
getGrid() | sgpp::datadriven::LearnerSGDE | virtual |
getNsamples() override | sgpp::datadriven::LearnerSGDE | virtual |
getSamples(size_t dim) override | sgpp::datadriven::LearnerSGDE | virtual |
getSamples() override | sgpp::datadriven::LearnerSGDE | virtual |
getSharedGrid() | sgpp::datadriven::LearnerSGDE | |
getSharedSurpluses() | sgpp::datadriven::LearnerSGDE | |
getSurpluses() | sgpp::datadriven::LearnerSGDE | virtual |
grid | sgpp::datadriven::LearnerSGDE | protected |
gridConfig | sgpp::datadriven::LearnerSGDE | protected |
grids | sgpp::datadriven::LearnerSGDE | protected |
initialize(base::DataMatrix &samples) override | sgpp::datadriven::LearnerSGDE | virtual |
lambdaReg | sgpp::datadriven::LearnerSGDE | protected |
LearnerSGDE(sgpp::base::RegularGridConfiguration &gridConfig, sgpp::base::AdaptivityConfiguration &adaptivityConfig, sgpp::solver::SLESolverConfiguration &solverConfig, sgpp::datadriven::RegularizationConfiguration ®ularizationConfig, CrossvalidationConfiguration &crossvalidationConfig) | sgpp::datadriven::LearnerSGDE | |
LearnerSGDE(LearnerSGDEConfiguration &learnerSGDEConfig) | sgpp::datadriven::LearnerSGDE | explicit |
LearnerSGDE(const LearnerSGDE &learnerSGDE) | sgpp::datadriven::LearnerSGDE | |
mean() override | sgpp::datadriven::LearnerSGDE | virtual |
mean(base::Grid &grid, base::DataVector &alpha) | sgpp::datadriven::LearnerSGDE | protected |
optimizeLambdaCV() | sgpp::datadriven::LearnerSGDE | protected |
pdf(base::DataVector &x) override | sgpp::datadriven::LearnerSGDE | virtual |
pdf(base::DataMatrix &points, base::DataVector &res) override | sgpp::datadriven::LearnerSGDE | virtual |
predict(base::DataMatrix &testDataset, base::DataVector &predictedLabels) | sgpp::datadriven::LearnerSGDE | virtual |
priors | sgpp::datadriven::LearnerSGDE | protected |
regularizationConfig | sgpp::datadriven::LearnerSGDE | protected |
solverConfig | sgpp::datadriven::LearnerSGDE | protected |
splitset(std::vector< std::shared_ptr< base::DataMatrix >> &strain, std::vector< std::shared_ptr< base::DataMatrix >> &stest) | sgpp::datadriven::LearnerSGDE | protected |
std_deviation() | sgpp::datadriven::DensityEstimator | virtual |
storeResults(base::DataMatrix &testDataset) | sgpp::datadriven::LearnerSGDE | virtual |
train(base::Grid &grid, base::DataVector &alpha, base::DataMatrix &trainData, double lambdaReg) | sgpp::datadriven::LearnerSGDE | virtual |
train() | sgpp::datadriven::LearnerSGDE | virtual |
trainData | sgpp::datadriven::LearnerSGDE | protected |
trainLabels | sgpp::datadriven::LearnerSGDE | protected |
trainOnline(base::DataVector &labels, base::DataMatrix &testData, base::DataVector &testLabels, base::DataMatrix *validData, base::DataVector *validLabels, base::DataVector &classLabels, size_t maxDataPasses, std::string refType, std::string refMonitor, size_t refPeriod, double accDeclineThreshold, size_t accDeclineBufferSize, size_t minRefInterval, bool usePrior) | sgpp::datadriven::LearnerSGDE | virtual |
usePrior | sgpp::datadriven::LearnerSGDE | protected |
variance() override | sgpp::datadriven::LearnerSGDE | virtual |
variance(base::Grid &grid, base::DataVector &alpha) | sgpp::datadriven::LearnerSGDE | protected |
~DensityEstimator() | sgpp::datadriven::DensityEstimator | virtual |
~LearnerSGDE() | sgpp::datadriven::LearnerSGDE | virtual |