Documentation of the API¶

This is the user manual for the Python bindings to the otpod library.

Data analysis¶

Linear regression analysis with residuals hypothesis tests.

`UnivariateLinearModelPOD`	Linear regression based POD.
`QuantileRegressionPOD`	Quantile regression based POD.
`PolynomialChaosPOD`	Polynomial chaos based POD.
`KrigingPOD`	Kriging based POD.

`AdaptiveSignalPOD`	Adaptive algorithm for signal data type.
`AdaptiveHitMissPOD`	Adaptive algorithm for hit miss data type.

`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.

`PODSummary`	Run the analysis and compute POD with several methods.
`DataHandling`	Static methods for data handling.