As a follow-up to my last post here and comments from Robert Kern. I have
just released version 1.0.0 of the sampler on PyPI. The work is pretty much
done (I hope). Feedback would be very much appreciated.
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Thanks for the insightful comments. I totally understand the concerns with
maintenance. After some thought, I agree that maybe it would be best to have
it as a separate package and hopefully get it added to scipy in the future?
I will continue development at https://github.com/zoj613/polya-gamma fo
My view is that we will not add more non-uniform distribution (i.e. "named"
statistical probability distributions like Polya-Gamma) methods to
`Generator`. I think that we might add a couple more methods to handle some
more fundamental issues (like sampling from the unit interval with control
over
Thanks for putting together this clean implementation!
My concern is that Polya-Gamma is not popular enough to warrant inclusion
in NumPy, which tries very hard to limit scope these days. For example,
Polya-Gamma isn’t implemented in scioy.stats and doesn’t have a Wikipedia
page, both of which are
I'm just a lurker, but I spent a minute or two to look at that commit,
which looks to be high quality. While I personally have not used this
distribution, people I know use it all the time (for ML).
A quibble:
#define NPY_PI 3.141592653589793238462643383279502884 /* pi */
and the following def
Hi All,
I would like to know if Numpy accepts addition of new distributions since the
implementation of the Generator interface. If so, what is the criteria for a
particular distribution to be accepted? The reason why i'm asking is because I
would like to propose adding the Polya-gamma distribu
