Documentation of the API¶
This is the user manual for the Python bindings to the otpod library.
Data analysis¶
UnivariateLinearModelAnalysis |
Linear regression analysis with residuals hypothesis tests. |
POD computation methods¶
UnivariateLinearModelPOD |
Linear regression based POD. |
QuantileRegressionPOD |
Quantile regression based POD. |
PolynomialChaosPOD |
Polynomial chaos based POD. |
KrigingPOD |
Kriging based POD. |
Adaptive algorithms¶
AdaptiveSignalPOD |
Adaptive algorithm for signal data type. |
AdaptiveHitMissPOD |
Adaptive algorithm for hit miss data type. |
Sensitivity analysis¶
SobolIndices |
Sensitivity analysis based on Sobol’ indices. |
PLI |
PLI base class. |
PLIMean |
PLI based on a mean perturbation. |
PLIVariance |
PLI based on a mean perturbation. |
Tools¶
PODSummary |
Run the analysis and compute POD with several methods. |
DataHandling |
Static methods for data handling. |