>On the other hand, where does the scikit-learn stop and the scikit-image
start?


I didn't know about that project.  Thanks for the heads-up!

On 31 August 2011 10:44, Gael Varoquaux <gael.varoquaux@normalesup.org> wrote:
On Wed, Aug 31, 2011 at 11:40:30AM +0200, Olivier Grisel wrote:
> +1 for integrating simple and mainstream feature extractors (no
> additional dependency required: just pure numpy, the mathematical
> formula is a one-liner on Wikipedia and there are plenty of already
> available implementations to check that our own is correct by
> comparing to them).

On the other hand, where does the scikit-learn stop and the scikit-image
start?

> I think it's really important to have some mainstream feature
> extractors in the scikit to be able to reproduce common results from
> purely Machine Learning oriented conferences such as ICML and the ML
> tracks of NIPS.

The scope of these conferences is huge, and we will drag in crazy things
if we put this as a goal.

G

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