============== Meta modelling ============== .. currentmodule:: openturns General classes =============== .. autosummary:: :toctree: _generated/ :template: class.rst_t MetaModelAlgorithm MetaModelResult :template: classWithPlot.rst_t MetaModelValidation Parametric ========== Taylor approximation -------------------- Refer to :ref:`Taylor expansion `. .. autosummary:: :toctree: _generated/ :template: class.rst_t LinearTaylor QuadraticTaylor Least squares approximation --------------------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t LinearLeastSquares QuadraticLeastSquares Linear model algorithm ====================== Main classes ------------ .. autosummary:: :toctree: _generated/ :template: class.rst_t LinearModelAlgorithm LinearModelResult LinearModelStepwiseAlgorithm Post-processing --------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t LinearModelAnalysis :template: classWithPlot.rst_t experimental.LinearModelValidation Generalized Linear Model algorithm ================================== .. autosummary:: :toctree: _generated/ :template: classWithPlot.rst_t GeneralLinearModelAlgorithm :template: class.rst_t GeneralLinearModelResult Gaussian Process Regression =========================== Main classes ------------ .. autosummary:: :toctree: _generated/ :template: classWithPlot.rst_t experimental.GaussianProcessRegression experimental.GaussianProcessFitter :template: class.rst_t experimental.GaussianProcessRegressionResult experimental.GaussianProcessFitterResult experimental.GaussianProcessConditionalCovariance experimental.GaussianProcessRandomVector Construction of the regression basis ------------------------------------ .. autosummary:: :toctree: _generated/ :template: class.rst_t BasisFactory ConstantBasisFactory LinearBasisFactory QuadraticBasisFactory Functional chaos expansion ========================== Main classes ------------ .. autosummary:: :toctree: _generated/ :template: class.rst_t FunctionalChaosAlgorithm LeastSquaresExpansion IntegrationExpansion Construction of the truncated multivariate orthogonal basis ----------------------------------------------------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t AdaptiveStrategy CleaningStrategy FixedStrategy Projection method ----------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t ProjectionStrategy IntegrationStrategy LeastSquaresStrategy Least squares algorithms to compute the coefficients ---------------------------------------------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t ApproximationAlgorithm ApproximationAlgorithmImplementationFactory PenalizedLeastSquaresAlgorithmFactory PenalizedLeastSquaresAlgorithm LeastSquaresMetaModelSelectionFactory LeastSquaresMetaModelSelection Model selection algorithm ------------------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t BasisSequenceFactory :template: classWithPlot.rst_t LARS Model selection criteria ------------------------ .. autosummary:: :toctree: _generated/ :template: class.rst_t FittingAlgorithm CorrectedLeaveOneOut KFold .. _least_squares_methods: Least Squares problem resolution -------------------------------- Refer to :ref:`least_squares`. .. autosummary:: :toctree: _generated/ :template: class.rst_t LeastSquaresMethod CholeskyMethod SVDMethod QRMethod SparseMethod DesignProxy Results ------- .. autosummary:: :toctree: _generated/ :template: class.rst_t FunctionalChaosRandomVector FunctionalChaosResult :template: classWithPlot.rst_t FunctionalChaosSobolIndices :template: classWithPlot.rst_t experimental.FunctionalChaosValidation Functional chaos on fields -------------------------- .. autosummary:: :toctree: _generated/ :template: class.rst_t FieldToPointFunctionalChaosAlgorithm FieldFunctionalChaosResult FieldFunctionalChaosSobolIndices experimental.PointToFieldFunctionalChaosAlgorithm