>
> Yes. Learn numpy. Seriously, this may sound provocative but it's the
> biggest favor you can do yourself.
Ok, then for folks like me that come to numpy because (thanks to) sklearn,
than why not point a (few) good tutorials somewhere in the docs ?
I mean if it's an implicit requirement, then let's make it explicit and
encourage people to learn it :)
> And by the way, if you (k)new numpy, you would now
> that what you have written above is very inefficient and you could write
> something like "X = X[:, clf.feature_importances_ > 1e-3]"
>
>
How did you know ;D
> That said, as Olivier mentioned, the GradientBoostingClassifier could
> implement a "transform", and that might be a good idea.
>
Ok, then maybe that's something I can tackle if it's not to hairy ?
>
> PS: Sorry if I come out a bit harsh, I had a pretty bad day fighting with
> administration.
>
no pb, since you acknowledge it !
------------------------------------------------------------------------------
See everything from the browser to the database with AppDynamics
Get end-to-end visibility with application monitoring from AppDynamics
Isolate bottlenecks and diagnose root cause in seconds.
Start your free trial of AppDynamics Pro today!
http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
