scipy.stats.qmc.LatinHypercube.
random#
- LatinHypercube.random(n=1, *, workers=1)[source]#
Draw n in the half-open interval
[0, 1).- Parameters:
- nint, optional
Number of samples to generate in the parameter space. Default is 1.
- workersint, optional
Only supported with
Halton. Number of workers to use for parallel processing. If -1 is given all CPU threads are used. Default is 1. It becomes faster than one worker for n greater than \(10^3\).
- Returns:
- samplearray_like (n, d)
QMC sample.