Depends.
If you give "fit_params" to cross_val_score it will be passed to
GridSearchCV in the correct way, I believe.
On 10/30/2015 06:36 AM, Christoph Sawade wrote:
Thanks for the response. I am actually interested in the new
DisjointLabelKFold
(https://github.com/scikit-learn/scikit-learn/
Thanks for the response. I am actually interested in the new
DisjointLabelKFold (https://github.com/scikit-learn/scikit-learn/pull/)
which depends on an additional label. This use case seems to be not yet
covered in the new sklearn.model_selection, is it?
> Changes to support this case have re
Changes to support this case have recently been merged into master, and an
example is on its way:
https://github.com/scikit-learn/scikit-learn/issues/5589
I think you should be able to run your code by importing GridSearchCV,
cross_val_score and StratifiedShuffleSplit from the new
sklearn.model_se
