| _batch_size | StochasticTools::GaussianProcess | protected |
| _covar_name | StochasticTools::GaussianProcess | protected |
| _covar_type | StochasticTools::GaussianProcess | protected |
| _covariance_function | StochasticTools::GaussianProcess | protected |
| _data_standardizer | StochasticTools::GaussianProcess | protected |
| _dependent_covar_names | StochasticTools::GaussianProcess | protected |
| _dependent_covar_types | StochasticTools::GaussianProcess | protected |
| _hyperparam_map | StochasticTools::GaussianProcess | protected |
| _hyperparam_vec_map | StochasticTools::GaussianProcess | protected |
| _K | StochasticTools::GaussianProcess | protected |
| _K_cho_decomp | StochasticTools::GaussianProcess | protected |
| _K_results_solve | StochasticTools::GaussianProcess | protected |
| _num_outputs | StochasticTools::GaussianProcess | protected |
| _num_tunable | StochasticTools::GaussianProcess | protected |
| _param_standardizer | StochasticTools::GaussianProcess | protected |
| _training_data | StochasticTools::GaussianProcess | protected |
| _training_params | StochasticTools::GaussianProcess | protected |
| _tuning_data | StochasticTools::GaussianProcess | protected |
| covarFunction() | StochasticTools::GaussianProcess | inline |
| covarFunctionPtr() | StochasticTools::GaussianProcess | inline |
| covarName() | StochasticTools::GaussianProcess | inline |
| covarNumOutputs() | StochasticTools::GaussianProcess | inline |
| covarType() | StochasticTools::GaussianProcess | inline |
| dataStandardizer() | StochasticTools::GaussianProcess | inline |
| dependentCovarNames() | StochasticTools::GaussianProcess | inline |
| dependentCovarTypes() | StochasticTools::GaussianProcess | inline |
| GaussianProcess() | StochasticTools::GaussianProcess | |
| generateTuningMap(const std::vector< std::string > ¶ms_to_tune, const std::vector< Real > &min=std::vector< Real >(), const std::vector< Real > &max=std::vector< Real >()) | StochasticTools::GaussianProcess | |
| getCovarFunction() const | StochasticTools::GaussianProcess | inline |
| getCovarFunctionPtr() const | StochasticTools::GaussianProcess | inline |
| getCovarName() const | StochasticTools::GaussianProcess | inline |
| getCovarNumOutputs() const | StochasticTools::GaussianProcess | inline |
| getCovarType() const | StochasticTools::GaussianProcess | inline |
| getDataStandardizer() const | StochasticTools::GaussianProcess | inline |
| getDependentCovarNames() const | StochasticTools::GaussianProcess | inline |
| getDependentCovarTypes() const | StochasticTools::GaussianProcess | inline |
| getGradient(RealEigenMatrix &inputs) const | StochasticTools::GaussianProcess | |
| getHyperParamMap() const | StochasticTools::GaussianProcess | inline |
| getHyperParamVectorMap() const | StochasticTools::GaussianProcess | inline |
| getK() const | StochasticTools::GaussianProcess | inline |
| getKCholeskyDecomp() const | StochasticTools::GaussianProcess | inline |
| getKResultsSolve() const | StochasticTools::GaussianProcess | inline |
| getLoss(RealEigenMatrix &inputs, RealEigenMatrix &outputs) | StochasticTools::GaussianProcess | |
| getNumTunableParams() const | StochasticTools::GaussianProcess | inline |
| getParamStandardizer() const | StochasticTools::GaussianProcess | inline |
| hyperparamMap() | StochasticTools::GaussianProcess | inline |
| hyperparamVectorMap() | StochasticTools::GaussianProcess | inline |
| initialize(CovarianceFunctionBase *covariance_function, const std::vector< std::string > ¶ms_to_tune, const std::vector< Real > &min=std::vector< Real >(), const std::vector< Real > &max=std::vector< Real >()) | StochasticTools::GaussianProcess | |
| K() | StochasticTools::GaussianProcess | inline |
| KCholeskyDecomp() | StochasticTools::GaussianProcess | inline |
| KResultsSolve() | StochasticTools::GaussianProcess | inline |
| linkCovarianceFunction(CovarianceFunctionBase *covariance_function) | StochasticTools::GaussianProcess | |
| mapToVec(const std::unordered_map< std::string, std::tuple< unsigned int, unsigned int, Real, Real >> &tuning_data, const std::unordered_map< std::string, Real > &scalar_map, const std::unordered_map< std::string, std::vector< Real >> &vector_map, std::vector< Real > &vec) const | StochasticTools::GaussianProcess | |
| paramStandardizer() | StochasticTools::GaussianProcess | inline |
| setupCovarianceMatrix(const RealEigenMatrix &training_params, const RealEigenMatrix &training_data, const GPOptimizerOptions &opts) | StochasticTools::GaussianProcess | |
| setupStoredMatrices(const RealEigenMatrix &input) | StochasticTools::GaussianProcess | |
| standardizeData(RealEigenMatrix &data, bool keep_moments=false) | StochasticTools::GaussianProcess | |
| standardizeParameters(RealEigenMatrix ¶meters, bool keep_moments=false) | StochasticTools::GaussianProcess | |
| tuneHyperParamsAdam(const RealEigenMatrix &training_params, const RealEigenMatrix &training_data, const GPOptimizerOptions &opts) | StochasticTools::GaussianProcess | |
| tuningData() | StochasticTools::GaussianProcess | inline |
| vecToMap(const std::unordered_map< std::string, std::tuple< unsigned int, unsigned int, Real, Real >> &tuning_data, std::unordered_map< std::string, Real > &scalar_map, std::unordered_map< std::string, std::vector< Real >> &vector_map, const std::vector< Real > &vec) const | StochasticTools::GaussianProcess | |