`scipy.stats._qmc:_random_cd`

source: /scipy/stats/_qmc.py :2624

Signature

   def     _random_cd (    best_sample  :  np.ndarray    ,    n_iters  :  int    ,    n_nochange  :  int    ,    rng  :  GeneratorType    ,   ** kwargs  :  dict      )   →  np.ndarray

Summary

Optimal LHS on CD.

Extended Summary

Create a base LHS and do random permutations of coordinates to lower the centered discrepancy. Because it starts with a normal LHS, it also works with the scramble keyword argument.

Two stopping criterion are used to stop the algorithm: at most, n_iters iterations are performed; or if there is no improvement for n_nochange consecutive iterations.

Aliases

scipy.stats._qmc._random_cd