Dakota  Version 6.13
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PyPolyReg Member List

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

build(const MatrixXd &samples, const MatrixXd &response) overridePolynomialRegressionvirtual
clone() const overridePolynomialRegressioninlinevirtual
compute_basis_matrix(const MatrixXd &samples, MatrixXd &basis_matrix) const PolynomialRegression
configOptionsSurrogateprotected
cross_validate(const MatrixXd &samples, const MatrixXd &response, const StringArray &mnames, const int num_folds=5, const int seed=20)Surrogate
dataScalerSurrogate
defaultConfigOptionsSurrogateprotected
evaluate_metrics(const StringArray &mnames, const MatrixXd &points, const MatrixXd &ref_values)Surrogate
get_num_terms() const PolynomialRegression
get_options(ParameterList &options)Surrogate
get_polynomial_coeffs() const PolynomialRegression
get_polynomial_intercept() const PolynomialRegression
gradient(const MatrixXd &eval_points, const int qoi) overridePolynomialRegressionvirtual
gradient(const MatrixXd &eval_points)PolynomialRegressioninline
hessian(const MatrixXd &eval_point, const int qoi) overridePolynomialRegressionvirtual
hessian(const MatrixXd &eval_point)PolynomialRegressioninline
load(const std::string &infile, const bool binary, SurrHandle &surr_in)Surrogatestatic
load(const std::string &infile, const bool binary)Surrogatestatic
load(const std::string &infile, const bool binary, DerivedSurr &surr_in)Surrogate
numQOISurrogateprotected
numSamplesSurrogateprotected
numVariablesSurrogateprotected
PolynomialRegression()PolynomialRegression
PolynomialRegression(const ParameterList &options)PolynomialRegression
PolynomialRegression(const std::string &param_list_xml_filename)PolynomialRegression
PolynomialRegression(const MatrixXd &samples, const MatrixXd &response, const ParameterList &options)PolynomialRegression
PolynomialRegression(const MatrixXd &samples, const MatrixXd &response, const std::string &param_list_xml_filename)PolynomialRegression
print_options()Surrogate
PyPolyReg() (defined in PyPolyReg)PyPolyReginline
PyPolyReg(const pybind11::dict &pydict)PyPolyReginline
PyPolyReg(const Eigen::MatrixXd &samples, const Eigen::MatrixXd &response, const pybind11::dict &pydict)PyPolyReginline
response_labels(const std::vector< std::string > &resp_labels)Surrogate
response_labels() const Surrogate
responseLabelsSurrogateprotected
save(const SurrHandle &surr_out, const std::string &outfile, const bool binary)Surrogatestatic
save(const DerivedSurr &surr_out, const std::string &outfile, const bool binary)Surrogate
set_options(const ParameterList &options)Surrogate
set_polynomial_coeffs(const MatrixXd &coeffs)PolynomialRegression
Surrogate()Surrogate
Surrogate(const ParameterList &param_list)Surrogate
Surrogate(const MatrixXd &samples, const MatrixXd &response, const ParameterList &param_list)Surrogate
value(const Eigen::MatrixXd &eval_points)PyPolyReginline
dakota::surrogates::PolynomialRegression::value(const MatrixXd &eval_points, const int qoi) overridePolynomialRegressionvirtual
variable_labels(const std::vector< std::string > &var_labels)Surrogate
variable_labels() const Surrogate
variableLabelsSurrogateprotected
~PolynomialRegression()PolynomialRegression
~Surrogate()Surrogatevirtual