Dakota  Version 6.20
Explore and Predict with Confidence
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Pages
PyPolyReg Member List

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

basisIndicesPolynomialRegressionprivate
build(const MatrixXd &samples, const MatrixXd &response) overridePolynomialRegressionvirtual
clone() const overridePolynomialRegressioninlinevirtual
compute_basis_matrix(const MatrixXd &samples, MatrixXd &basis_matrix) constPolynomialRegression
configOptionsSurrogateprotected
cross_validate(const MatrixXd &samples, const MatrixXd &response, const StringArray &mnames, const int num_folds=5, const int seed=20)Surrogate
dataScalerSurrogate
default_options() overridePolynomialRegressionprivatevirtual
defaultConfigOptionsSurrogateprotected
evaluate_metrics(const StringArray &mnames, const MatrixXd &points, const MatrixXd &ref_values)Surrogate
get_num_terms() constPolynomialRegression
get_options(ParameterList &options)Surrogate
get_polynomial_coeffs() constPolynomialRegression
get_polynomial_intercept() constPolynomialRegression
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
linearSolverPolynomialRegressionprivate
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
numTermsPolynomialRegressionprivate
numVariablesSurrogateprotected
polynomialCoeffsPolynomialRegressionprivate
polynomialInterceptPolynomialRegressionprivate
PolynomialRegression()PolynomialRegression
PolynomialRegression(const ParameterList &options)PolynomialRegression
PolynomialRegression(const std::string &param_list_yaml_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_yaml_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() constSurrogate
responseLabelsSurrogateprotected
responseOffsetSurrogate
responseScaleFactorSurrogate
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
serialize(Archive &archive, const unsigned int version)PolynomialRegressionprivate
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() constSurrogate
variableLabelsSurrogateprotected
verbosityPolynomialRegressionprivate
~PolynomialRegression()PolynomialRegression
~Surrogate()Surrogatevirtual