SALib.sample.radial.radial_mc module# SALib.sample.radial.radial_mc.sample(problem: Dict, N: int, seed: int | None = None)[source]# Generates N monte carlo samples for a Radial OAT approach using a uniform distribution. Notes Compatible with: SALib.analyze.radial_ee.analyze() SALib.analyze.sobol_jansen.analyze() Parameters: problem (dict) – SALib problem specification N (int) – The number of sample sets to generate seed (int) – Seed value to use for np.random.seed Returns: numpy.ndarray Return type: An array of samples