PR welcome!
On 02/26/2015 01:19 PM, Pierre-Luc Bacon wrote:
Thanks ! Perhaps the documentation could be updated to make this clear ?
Pierre-Luc
On Tue, Feb 24, 2015 at 5:24 AM, Arnaud Joly <a.j...@ulg.ac.be
<mailto:a.j...@ulg.ac.be>> wrote:
Hi Pierre-Luc,
This is the same criterion, but with a different name.
The maximisation of the reduction of variance at each split
will lead to minimize the mean squared error.
Cheers,
Arnaud
On 24 Feb 2015, at 01:53, Pierre-Luc Bacon <pba...@cs.mcgill.ca
<mailto:pba...@cs.mcgill.ca>> wrote:
In the original Extra-Tree papers, the authors use the "relative
variance reduction" (appendix A) for regression.
The implementation in Scikit-Learn however suggests a different
criterion:
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_tree.pyx#L836
What was the rational behind this choice ?
Thanks,
Pierre-Luc
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel
Website, sponsored
by Intel and developed in partnership with Slashdot Media, is
your hub for all
things parallel software development, from weekly thought
leadership blogs to
news, videos, case studies, tutorials and more. Take a look and
join the
conversation now.
http://goparallel.sourceforge.net/_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
<mailto:Scikit-learn-general@lists.sourceforge.net>
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel
Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your
hub for all
things parallel software development, from weekly thought
leadership blogs to
news, videos, case studies, tutorials and more. Take a look and
join the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
<mailto:Scikit-learn-general@lists.sourceforge.net>
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
