Awesome, thanks Vlad, that's exactly what I've been looking for!
Thanks,
Karol
2013/11/8 Vlad Niculae <zephy...@gmail.com>
> We have an instance of vbench continuously running [1] that I did as a
> GSoC project last year.
>
> For some reason it seems that the links don't generate properly now,
> but it still works (though all data got lost in a jenkins setup
> incident this summer).
>
> Here are some linear model benchmarks for example [2]
>
> Until I fix the bug you can get the data from the github repo [3]
>
> Yours,
> Vlad
>
>
> [1] http://scikit-learn.github.io/scikit-learn-speed
> [2] http://scikit-learn.github.io/scikit-learn-speed/vb_linear_model.html
> [3] https://github.com/scikit-learn/scikit-learn-speed
>
> On Fri, Nov 8, 2013 at 7:33 PM, Skipper Seabold <jsseab...@gmail.com>
> wrote:
> > On Fri, Nov 8, 2013 at 6:30 PM, Karol Pysniak <kpysn...@gmail.com>
> wrote:
> >> Hi All,
> >>
> >> Has there any been discussion on adding some automated benchmarks for
> both
> >> speed and accuracy of the algorithms we have? I think it would very
> >> interesting if such a script could be automatically executed after every
> >> commit so that we could follow the performance of scikit-learn or, at
> least,
> >> have such a script generally available on local machines. What do you
> think
> >> about this? There are already benchmark scripts, but it's quite hard to
> >> compare the impact of commits on the library.
> >>
> >> Would there be an interest in such a tool?
> >>
> >
> > For speed: https://github.com/pydata/vbench
> >
> > Skipper
> >
> >
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