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.
All these are points that I'd like to see addressed, because I fear that
they could all induce a change in API or conventions. And I'd like API
and conventions to be stabilized, to be able to push out a 1.0 (I am
talking 6 months to 1 year horizon).
G
PS: On the down side, I am having crazy days these last weeks. I spend
the whole day at work looking at other people's problem, and when I get
home in the evening, instead of hacking on open source, I answer email
and try to get done the work that should have done during the day...
Sorry lads, just mumbling at my own improductivity.
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