There appears to be a bug in numpy's hypergeometric
random number generator. Here is an example -- if I
generate 1000 hg samples with 4 draws from a space
with 30 successes and 10 failures:
In [39]: x = hg(30, 10, 4, 1000)
I should get a mean value of:
In [40]: 4*30./40
Out[40]: 3.0
But the
Chris wrote:
There appears to be a bug in numpy's hypergeometric
random number generator. Here is an example -- if I
generate 1000 hg samples with 4 draws from a space
with 30 successes and 10 failures:
In [39]: x = hg(30, 10, 4, 1000)
I should get a mean value of:
In [40]: 4*30./40
