sensitivity_analysis#
Functions#
|
Computes the parameter sensitivities on the combined cost function using |
Module Contents#
- sensitivity_analysis.sensitivity_analysis(problem: pybop.problems.problem.Problem, n_samples: int = 256, calc_second_order: bool = False) dict[source]#
Computes the parameter sensitivities on the combined cost function using SOBOL analysis from the SALib module [1].
- Parameters:
problem (pybop.Problem) – The optimisation problem.
n_samples (int, optional) – Number of samples for SOBOL sensitivity analysis, performs best as order of 2, i.e. 128, 256, etc.
calc_second_order (bool, optional) – Whether to calculate second-order sensitivities.
References
- Returns:
Sensitivities
- Return type:
dict