This is the complete list of members for autopas::GaussianProcess, including all inherited members.
addEvidence(const Vector &input, double output, bool tuneHypers) | autopas::GaussianProcess | |
calcAcquisition(AcquisitionFunctionOption af, const Vector &input) const | autopas::GaussianProcess | |
clear() | autopas::GaussianProcess | |
GaussianProcess(size_t dims, double sigma, Random &rngRef) | autopas::GaussianProcess | |
generateHyperparameterSamples(size_t sampleSize, Random &rng, size_t dims, double sigma, double evidenceMinValue, double evidenceMaxValue) | autopas::GaussianProcess | static |
getDefaultVar() const | autopas::GaussianProcess | |
getEvidence() const | autopas::GaussianProcess | |
getEvidenceMax() const | autopas::GaussianProcess | |
getHyperparameters() | autopas::GaussianProcess | |
normalizeHyperparameters() | autopas::GaussianProcess | |
numEvidence() const | autopas::GaussianProcess | |
predictMean(const Vector &input) const | autopas::GaussianProcess | |
predictOutputPDF(const Vector &input, double output) const | autopas::GaussianProcess | |
predictOutputScaledPDF(const Vector &input, double output) const | autopas::GaussianProcess | |
predictVar(const Vector &input) const | autopas::GaussianProcess | |
sampleAquisitionMax(AcquisitionFunctionOption af, const std::vector< Vector > &samples) const | autopas::GaussianProcess | |
setDimension(size_t dims) | autopas::GaussianProcess | |
setHyperparameters(const std::vector< double > &sample_means, const std::vector< double > &sample_thetas, const std::vector< autopas::GaussianProcess::Vector > &sample_dimScales) | autopas::GaussianProcess | |
~GaussianProcess() (defined in autopas::GaussianProcess) | autopas::GaussianProcess | virtual |