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 wrote:
> 2013/1/10 Gael Varoquaux :
> > On Thu, Jan 10, 2013 at 03:57:23PM +1100,
Hi,
I'm pretty new to scikit-learn. I've generated a random forest
(classification) of 100 trees using default attributes. My data set has
over 2M examples.
2 questions:
1) I've noticed the size of the pickled model is quite large (e.g. ~9GB).
A comparable model trained with R's randomForest
Hi,
I'm new to scikit-learn. Curious if there's a way to combine forests
trained separately, similar to the combine() method in the R randomForest
package.
Thanks in advance!
David
--
Master Visual Studio, SharePoint, S
