I think the scipy folks intend that numpy-like setting operations should
suffice for many cases (although be a bit slower than the technique you've
illustrated).
E.g. you can use:
X[i, nonzero] = data[nonzero]
to replace some lines of Lars' code.
One disadvantage of this approach is needing to know X.shape beforehand.
On 29 July 2014 22:36, Lars Buitinck <larsm...@gmail.com> wrote:
> 2014-07-29 14:13 GMT+02:00 Eustache DIEMERT <eusta...@diemert.fr>:
> >> No, but it's not that hard to write [1].
> >
> > Do people see any value in either including it in the docs or
> encapsulating
> > it into sklearn.datasets ?
>
> If it fits somewhere in the docs, +1 from me. I might offer this to
> the SciPy folks as well.
>
> I don't think CSV loading is within our problem domain. That should be
> solved in SciPy. (VW format is another matter, as it's ML specific.)
>
>
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