I would really like to hear from people that used the simple averaging
for regression.
The classification case is something a lot of people use (at least on
kaggle), and has been much asked for.
It would be good to know if there are consistent improvements for
regression, too.
There is no reason why there shouldn't be, it's just a matter of whether
it is used much in practice.
On 11/11/2015 08:27 PM, Scott Turner wrote:
On Wed, Nov 11, 2015 at 6:18 PM,
<scikit-learn-general-requ...@lists.sourceforge.net
<mailto:scikit-learn-general-requ...@lists.sourceforge.net>> wrote:
@Scott: See https://github.com/scikit-learn/scikit-learn/pull/5794
for checking the VotingClassifier
It has also occurred to me that VotingClassifier ought to be capable
of using multiple CPUs to run the base classifiers, ala
cross_val_score. The code there is fairly easy to copy.
-- Scott
------------------------------------------------------------------------------
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
------------------------------------------------------------------------------
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
