+1 for that idea. A "cheat sheet" of sorts, or perhaps more like Cliff notes. 
Great idea though for sure.

-----Original Message-----
From: Andy [mailto:t3k...@gmail.com] 
Sent: Saturday, June 06, 2015 2:12 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: [Scikit-learn-general] Estimator Overview / Summary

Hi all.
I vaguely remember there once was an idea to add a page to the documentation 
that shows all the different models and their characteristics.
Was there a PR for that?
I think at least for supervised algorithms, I think this would be very useful. 
There is something like that for clustering, but not for classification or 
regression.
Having time and memory complexity, whether they support sparse data or not, and 
whether they support class_weights / sample_weights and partial fit on one page 
would be useful, I think.

I'd be happy to pick it up.

Cheers,
Andy


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