axtreme.sampling.normal_independent_sampler

Module for the NormalIndependentSampler class.

This module contains the NormalIndependentSampler class, which is a subclass of IndependentMCSampler. It is used to randomly generate base samples from a Normal distribution and when you want to ignore the covariance between different x points, and sample a single X output space independently.

Classes

NormalIndependentSampler(sample_shape[, seed])

IndependentMCSampler that randomly generates base samples from a Normal distribution.