Response surface¶
Parametric¶
Non-parametric¶
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Base class to compute a metamodel. |
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Data structure containing a metamodel. |
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Base class to score a metamodel and perform validations. |
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Classifier. |
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Particular classifier based on a mixture distribution. |
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Classifier define by a minimum volume level set. |
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Expert mixture defining a piecewise function according to a classifier. |
- Response surface: Functional chaos expansion
- Functional chaos algorithm
- Construction of the truncated multivariate orthogonal basis
- Computation of the polynomial chaos coefficients
- ProjectionStrategy
- IntegrationStrategy
- LeastSquaresStrategy
- ApproximationAlgorithm
- PenalizedLeastSquaresAlgorithmFactory
- PenalizedLeastSquaresAlgorithm
- LeastSquaresMetaModelSelectionFactory
- LeastSquaresMetaModelSelection
- BasisSequenceFactory
- LARS
- FittingAlgorithm
- CorrectedLeaveOneOut
- KFold
- DesignProxy
- Least Squares problem resolution
- Results
- Response surface: Generalized Linear Model
- Response surface: Kriging
- Response surface: low-rank approximation
- Response surface: Linear Model