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 |