On Thu, Jan 19, 2012 at 7:44 AM, Gael Varoquaux
<[email protected]> wrote:
> On Wed, Jan 18, 2012 at 11:37:15PM +0100, Andreas wrote:
>> Having this feature might get us a LOT of attention.
>> But this is really not a simple project.
>
> Before trying to jump to the super fancy features, I'd rather have a
> polished and versatile version of the scikit. They are many things that I
> find that we haven't explored right. For instance these are my personal
> pain points:
>
>  * we don't have an online learning framework.
>
>  * Our model selection framework is still weak
>
>    - see
>      
> https://github.com/scikit-learn/scikit-learn/pull/443#issuecomment-3231270
>
>    - also, it the difficulty to do nested cross-validation with a specific
>       cross-validation strategy,
>
>  * we are light on the semi-supervised API
>
>  * our parameter naming is not uniform-enough across models.

Also the scikit has a bias towards dense data. It would be nice if
more estimators could work with sparse data too.

Mathieu

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