Greetings all!
Sorry for the delay. Thanks for all your answers !
Vlad, regarding the multi-class (orr multi-label) options, as fas as I
know, there is not a lot of documentation on the topic. I did once
implemented the multi-class option for the project I was working on, in an
OvR fashion. In th
1. It seems the example is just for a demo purpose, but can be easily
extended to production style code.
Incorporating cross-validation does not take much efforts. For Ex.
Consider Handwritten digits data, keep all digits data except one in
training sample,
perform cross validation for various valu
Note that most (if not all) speed improvement have been made to fit faster
trees.
Arnaud
On 26 Aug 2014, at 06:56, Gael Varoquaux wrote:
> On Tue, Aug 26, 2014 at 02:42:02AM +, Pranav Sharma wrote:
>> I just upgraded scikit from 14.1 to 15.1 to take advantage of the speed
>> improvements i
