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
Out[40]: 3.0
But the sample mean is way to small:
In [41]: mean(x)
Out[41]: 0.996
Fixed in r4527. My original source for the algorithm was incorrect, it seems.
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth.
-- Umberto Eco
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
