I'm +1 for adding tests to ensure grid search meets usages that fall
outside of the strict domains of scikit-learn's estimators. If users that
apply it to problems of other shape (additional args, etc.) can write
tests, or state their requirements, I think that would be valuable in
ensuring GridSearchCV doesn't break user cases when the devs are only
thinking about the core project.
On 19 December 2014 at 09:14, Michael Eickenberg <
michael.eickenb...@gmail.com> wrote:
> A sklearn_theano example ran into this problem while using
> cross_val_score. At the time, `cross_val_score` was calling `check_arrays`
> - now it is calling `indexable` and everything seems to go through fine
> again.
>
> Michael
>
> On Thu, Dec 18, 2014 at 10:59 PM, Robert McGibbon <rmcgi...@gmail.com>
> wrote:
>>
>> +1 on allowing non-2d data arrays in GridSearchCV. We use this capability
>> in some of our model selection problems as well, to layer GridSearchCV on
>> top of our modified estimators that are designed to take other shapes.
>>
>>
>> On Thursday, December 18, 2014, Gael Varoquaux <
>> gael.varoqu...@normalesup.org> wrote:
>>
>>> On Thu, Dec 18, 2014 at 04:41:25PM -0500, Andy wrote:
>>> > I'm pretty sure currently there is less restrictions, which makes sense
>>> > for the gridsearch and cross-validation.
>>>
>>> We are on the same page. These are fairly general utilities.
>>>
>>> G
>>>
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