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
