2013/1/10 Gael Varoquaux gael.varoqu...@normalesup.org:
On Thu, Jan 10, 2013 at 03:57:23PM +1100, Juan Nunez-Iglesias wrote:
More precisely, I think David wants a function that will take a set of RFs
and
return a new classifier object that does all the weighted averaging Andy
suggested for
Thanks for the help, guys. Indeed it's easy enough to implement a class
for combining the classifiers in a model-specific way. Thanks for the note
on the oob-score!
On Thu, Jan 10, 2013 at 2:28 AM, Olivier Grisel olivier.gri...@ensta.orgwrote:
2013/1/10 Gael Varoquaux
More precisely, I think David wants a function that will take a set of RFs
and return a new classifier object that does all the weighted averaging
Andy suggested for you transparently. And the answer is no, sklearn doesn't
have such a function. =)
As an aside, the OOB values will no longer be
On Thu, Jan 10, 2013 at 03:57:23PM +1100, Juan Nunez-Iglesias wrote:
More precisely, I think David wants a function that will take a set of RFs and
return a new classifier object that does all the weighted averaging Andy
suggested for you transparently. And the answer is no, sklearn doesn't
Hi David.
I am not really familiar with R, but you can just combine several
forests by averaging their output.
Ideally you should weight their output by the number of trees in each
forest.
Best,
Andy
On 12/20/2012 04:17 AM, David Broyles wrote:
Hi,
I'm new to scikit-learn. Curious if
