Hello there,
Is anyone on the list involved with experimental design, aka 'design of experiments', aka 'DoE'? https://en.wikipedia.org/wiki/Design_of_experiments http://www.itl.nist.gov/div898/handbook/pri/pri.htm I'm having a very hard time finding much if anything about DoE involving Python, which I kind of thought would be a natural fit given the utility of scipy, etc.. R has an entire task view page on CRAN (http://cran.r-project.org/web/views/ExperimentalDesign.html). Is there some particular reason Python would be unsuitable for this sort of endeavor, or something to explain the utter lack of interest? I've found a few packages (pyDOE, pyDesign, experimentator) but nothing like the hype surrounding 'machine learning'. I'm looking at using it to optimize something (for a hobby), and the commercial stats packages such as Minitab, JMP, Stat-ease, etc. are pretty much out-of-reach. At this point I'm leaning towards using R; though I'm more comfortable overall with Python, I'm not really at a point to where I feel comfortable 'rolling my own' for this sort of thing just yet. Thanks, Monte -- Shiny! Let's be bad guys. Reach me @ memilanuk (at) gmail dot com _______________________________________________ SciPy-User mailing list [hidden email] http://mail.scipy.org/mailman/listinfo/scipy-user |
On 3/10/2015 6:50 PM, memilanuk wrote:
> I'm having a very hard time finding much if anything about DoE involving > Python, which I kind of thought would be a natural fit given the utility > of scipy, etc. Look at statsmodels and in particular model specification using patsy. There is also many LHS variants in Python floating around (including in pyDOE). fwiw, Alan Isaac _______________________________________________ SciPy-User mailing list [hidden email] http://mail.scipy.org/mailman/listinfo/scipy-user |
Alan G Isaac <alan.isaac <at> gmail.com> writes:
> > Look at statsmodels and in particular model specification using patsy. > There is also many LHS variants in Python floating around (including in pyDOE). > Cool. I hadn't come across patsy before; definitely looks interesting with the R-like syntax. Another one I see mentioned occasionally is openMDAO. Is there some place that would make sense as a central location for info like this, or a tutorial on setting up and analyzing experiments from start to finish using various python tools? _______________________________________________ SciPy-User mailing list [hidden email] http://mail.scipy.org/mailman/listinfo/scipy-user |
On Wed, Mar 11, 2015 at 10:00 AM, Monte Milanuk <[hidden email]> wrote: Alan G Isaac <alan.isaac <at> gmail.com> writes: Thanks for the pointer, I haven't seen this before.
statsmodels would be a good location for DOE related tools and information. There is nothing specific yet in there (except some power and sample size calculations), and I don't have an overview for what belongs to DOE and would be useful. (It's on the long term wishlist.) A notebook or a documentation rst page would make a good start. AFAIK, there is no other general purpose statistics package besides statsmodels, everything else is topic or domain specific. Josef
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