Take a look at sklearn/utils/arpack.py. This is a backport of the scipy
arpack: the file is basically copied literally, and then a hook at the
bottom that replaces the main functions with the scipy version, if they're
available.
Jake
On Thu, May 2, 2013 at 6:03 AM, Lars Buitinck <[email protected]> wrote:
> 2013/5/2 Robert Layton <[email protected]>:
> > As part of PR 1830, it looks like backporting some code from scipy 0.13
> is
> > the best option.
> > What is the best way to go about this? I haven't done it before -- do I
> just
> > copy files over until it works, or is there a better process?
>
> I have done this with arcane Git magic involving a SciPy clone as a
> remote, but copying files and tying them into the build process is the
> easier way.
>
> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
>
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