SALib.test_functions package

Submodules

SALib.test_functions.Ishigami module

SALib.test_functions.Ishigami.evaluate(values)[source]

SALib.test_functions.Sobol_G module

SALib.test_functions.Sobol_G.evaluate(values, a=None, delta=None, alpha=None)[source]

Modified Sobol G-function.

Reverts to original Sobol G-function if delta and alpha are not given.

1

Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., Tarantola, S., 2010. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications 181, 259–270. https://doi.org/10.1016/j.cpc.2009.09.018

Parameters
  • values (numpy.ndarray) – input variables

  • a (numpy.ndarray) – parameter values

  • delta (numpy.ndarray) – shift parameters

  • alpha (numpy.ndarray) – curvature parameters

Returns

Y

Return type

Result of G-function

SALib.test_functions.Sobol_G.sensitivity_index(a, alpha=None)[source]
SALib.test_functions.Sobol_G.total_sensitivity_index(a, alpha=None)[source]

Module contents