GaussianProcess Member List

This is the complete list of members for GaussianProcess, including all inherited members.

basisMatrix	GaussianProcess	private
bestBetaValues	GaussianProcess	private
bestEstimatedNuggetValue	GaussianProcess	private
bestObjFunValue	GaussianProcess	private
bestThetaValues	GaussianProcess	private
betaBound	GaussianProcess	private
betaValues	GaussianProcess	private
boost::serialization::access class	GaussianProcess	friend
build(const MatrixXd &eval_points, const MatrixXd &response) override	GaussianProcess	virtual
CholFact	GaussianProcess	private
clone() const override	GaussianProcess	inlinevirtual
compute_build_dists()	GaussianProcess	private
compute_gram(const std::vector< MatrixXd > &dists2, bool add_nugget, bool compute_derivs, MatrixXd &gram)	GaussianProcess	private
compute_pred_dists(const MatrixXd &scaled_pred_pts)	GaussianProcess	private
configOptions	Surrogate	protected
covariance(const MatrixXd &eval_points, const int qoi)	GaussianProcess
covariance(const MatrixXd &eval_points)	GaussianProcess	inline
cross_validate(const MatrixXd &samples, const MatrixXd &response, const StringArray &mnames, const int num_folds=5, const int seed=20)	Surrogate
cwiseDists2	GaussianProcess	private
cwiseMixedDists	GaussianProcess	private
cwiseMixedDists2	GaussianProcess	private
cwisePredDists2	GaussianProcess	private
dataScaler	Surrogate
default_options() override	GaussianProcess	privatevirtual
defaultConfigOptions	Surrogate	protected
diagnostics_available() (defined in Surrogate)	Surrogate	inlinevirtual
estimatedNuggetValue	GaussianProcess	private
estimateNugget	GaussianProcess	private
estimateTrend	GaussianProcess	private
evaluate_metrics(const StringArray &mnames, const MatrixXd &points, const MatrixXd &ref_values)	Surrogate
eyeMatrix	GaussianProcess	private
fixedNuggetValue	GaussianProcess	private
GaussianProcess()	GaussianProcess
GaussianProcess(const ParameterList &param_list)	GaussianProcess
GaussianProcess(const std::string &param_list_yaml_filename)	GaussianProcess
GaussianProcess(const MatrixXd &samples, const MatrixXd &response, const ParameterList &param_list)	GaussianProcess
GaussianProcess(const MatrixXd &samples, const MatrixXd &response, const std::string &param_list_yaml_filename)	GaussianProcess
generate_initial_guesses(const VectorXd &sigma_bounds, const MatrixXd &length_scale_bounds, const VectorXd &nugget_bounds, const int num_restarts, const int seed, MatrixXd &initial_guesses)	GaussianProcess	private
get_num_opt_variables()	GaussianProcess
get_num_variables() const	GaussianProcess
get_objective_function_history()	GaussianProcess	inline
get_objective_gradient_history()	GaussianProcess	inline
get_options(ParameterList &options)	Surrogate
get_theta_history()	GaussianProcess	inline
gradient(const MatrixXd &eval_points) override	GaussianProcess	virtual
gradients(const MatrixXd &eval_points)	Surrogate
GramMatrix	GaussianProcess	private
GramMatrixDerivs	GaussianProcess	private
GramResidualSolution	GaussianProcess	private
hasBestCholFact	GaussianProcess	private
hessian(const MatrixXd &eval_point) override	GaussianProcess	virtual
hessians(const MatrixXd &eval_point)	Surrogate	virtual
kernel	GaussianProcess	private
kernel_type	GaussianProcess	private
load(const std::string &infile, const bool binary, SurrHandle &surr_in)	Surrogate	static
load(const std::string &infile, const bool binary)	Surrogate	static
load(const std::string &infile, const bool binary, DerivedSurr &surr_in)	Surrogate
negative_marginal_log_likelihood(bool compute_grad, bool compute_gram, double &obj_value, VectorXd &obj_gradient)	GaussianProcess
numNuggetTerms	GaussianProcess	private
numPolyTerms	GaussianProcess	private
numQOI	Surrogate	protected
numSamples	Surrogate	protected
numVariables	Surrogate	protected
objectiveFunctionHistory	GaussianProcess	private
objectiveGradientHistory	GaussianProcess	private
PI	GaussianProcess	private
polyRegression	GaussianProcess	private
predBasisMatrix	GaussianProcess	private
predCovariance	GaussianProcess	private
predGramMatrix	GaussianProcess	private
predMixedGramMatrix	GaussianProcess	private
print_options()	Surrogate
response_labels(const std::vector< std::string > &resp_labels)	Surrogate
response_labels() const	Surrogate
responseLabels	Surrogate	protected
responseOffset	Surrogate
responseScaleFactor	Surrogate
save(const SurrHandle &surr_out, const std::string &outfile, const bool binary)	Surrogate	static
save(const DerivedSurr &surr_out, const std::string &outfile, const bool binary)	Surrogate
scaledBuildPoints	GaussianProcess	private
serialize(Archive &archive, const unsigned int version)	GaussianProcess	private
set_opt_params(const std::vector< double > &opt_params)	GaussianProcess
set_options(const ParameterList &options)	Surrogate
setup_default_optimization_params(Teuchos::RCP< ParameterList > rol_params)	GaussianProcess	private
setup_hyperparameter_bounds(VectorXd &sigma_bounds, MatrixXd &length_scale_bounds, VectorXd &nugget_bounds)	GaussianProcess
Surrogate()	Surrogate
Surrogate(const ParameterList &param_list)	Surrogate
Surrogate(const MatrixXd &samples, const MatrixXd &response, const ParameterList &param_list)	Surrogate
targetValues	GaussianProcess	private
thetaHistory	GaussianProcess	private
thetaValues	GaussianProcess	private
trendTargetResidual	GaussianProcess	private
value(const MatrixXd &eval_points) override	GaussianProcess	virtual
values(const MatrixXd &eval_points)	Surrogate	virtual
variable_labels(const std::vector< std::string > &var_labels)	Surrogate
variable_labels() const	Surrogate
variableLabels	Surrogate	protected
variance(const MatrixXd &eval_points, const int qoi)	GaussianProcess
variance(const MatrixXd &eval_points)	GaussianProcess	inline
verbosity	GaussianProcess	private
~GaussianProcess() override	GaussianProcess
~Surrogate()	Surrogate	virtual