[SciPy-user] Making faster statistical distributions
oliphant at ee.byu.edu
Thu Jan 29 18:17:45 CST 2004
Robert Kern wrote:
>On Thu, Jan 29, 2004 at 03:53:10PM -0500, Christopher Fonnesbeck wrote:
>>Well, the binomial and normal distributions, for sure, off the top of
>>my head. Using the scipy distributions slows my MCMC code down
>>significantly (they were the bottleneck, according to the profiling
>>module). Using Fortran via f2py sped things up a lot. I'm not talking
>>about the generation of random deviates, necessarily, but rather the
>>pdf's, which are used for calculating likelihoods.
>I'm willing to bet that the speed is lost by the generality of the
>framework. There's a lot of argument manipulation and not a lot of
>actual computation. It might be useful to add a fastdists module that
>computes pdfs and cdfs in a more specific (but fast) way for the more
>common distributions. And log-pdfs, too, please! In fact, log-pdfs
>first since in many instances like MCMC, they're much more suitable.
>One could then override pdf() and cdf() (not _pdf() and _cdf()) in the
>specific classes. But that's a design that appears to have been decided
I wouldn't say anything has been decided against at this point. We
could pretty easily over-ride pdf and cdf for whatevern distribution you
like. Perhaps it would be a good idea to do so for the most common pdfs.
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