Open AmosJoseph opened 1 year ago
Latin-hypercube sampling is a method for make the samples more spread out. It is size-dependent, so you should expect to get a stronger effect with 600 than you get for 300+300.
If it is better or not, sounds like an hypothesis worth testing.
Pardon, sorry to bother! But I write to ask what is the difference between the two usage below:
first get 300 samples, then get other 300 samples
samples =distribution.sample(size =300, rule="L") samples =distribution.sample(size =300, rule="L")
get the whole 600 samples at one time samples =distribution.sample(size =600, rule="L")
Which one is more accrate and can better sample the input region/domain?
Best!