Hi,
Did you update Numpy at the same time, by any chance?
There is a discussion on the Numpy ML about a similar message on the
latest beta.
Cheers,
Matthieu
2014-06-11 16:46 GMT+01:00 Miguel Fernando Cabrera :
> Hi Joel, Arnaud,
>
> Thanks for the answer. In fact I am splitting the data using a
>
> Hi Joel, Arnaud,
Thanks for the answer. In fact I am splitting the data using another
approach. Yes I now realize that StratifiedKFold does not make sense here.
But the weird thing is that in 0.14 it does not even complain.
Best Regards,
--
Miguel
--
This has nothing to do with multilabel representation; Stratified K Fold
will not work over multilabel data. But the error message should be clearer.
On 11 June 2014 00:53, Miguel Fernando Cabrera wrote:
> Hi Everyone,
>
> This is my first post in the list. I have been using scikit-learn active
Hi,
Could you provide some minimal data as to reproduce this behavior?
Best regards,
Arnaud
On 10 Jun 2014, at 16:53, Miguel Fernando Cabrera wrote:
> Hi Everyone,
>
> This is my first post in the list. I have been using scikit-learn actively
> for the last six month in my M.Sc. thesis and
Hi Everyone,
This is my first post in the list. I have been using scikit-learn actively
for the last six month in my M.Sc. thesis and now at my new job I want to
use it for some tasks. I hope I can eventually become collaborator to the
project.
But lets start with a question :) - I wasn't sure i
