Great, thanks a lot!

I'm also curious about what you're running it on and about how the
performance is.

Vlad

On Fri, Dec 13, 2013 at 7:11 PM, Olivier Grisel
<olivier.gri...@ensta.org> wrote:
> Nice.
>
> Have you used it with success for real image classification tasks?
>
> I see you have been involved in the cats vs dogs kaggle competition.
> Is learning a linear model, if so we might consider including the such
> KMeansCoder as part of the sklearn.feature_extraction.image module and
> write an example for that dataset.
>
> Many people ask us how to use scikit-learn for image classification
> and we have no getting started example to point them at. If the KMeans
> patch encoder proves to be a reasonable baseline I would be +1 for
> having it as part of scikit-learn.
>
> Do you do some max pooling + normalization on the output?
>
> --
> Olivier
>
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