SALib.analyze.sobol_jansen module#
- SALib.analyze.sobol_jansen.analyze(problem: Dict, Y: array, sample_sets: int, num_resamples: int = 1000, conf_level: float = 0.95, seed: int | None = None) ResultDict[source]#
Estimation of Total Sensitivity Index using the Jansen Sensitivity Estimator.
Notes
- Parameters:
problem (dict) – The SALib problem specification
Y (np.array) – An array containing the model outputs of dtype=float
sample_sets (int) – The number of sample sets used to create X
num_resamples (int) – The number of resamples to calculate mu_star_conf (default 1000)
conf_level (float) – The confidence interval level (default 0.95)
seed (int) – Seed value to use for np.random.seed
- Returns:
Si
- Return type: