As far as I know, there aren't any estimators with predict kwargs. This
doesn't mean that engineers aren't writing their own estimators, which may
need kwargs. To me, one of sklearns great strengths is its pipeline, and
extending its functionality to allow for more flexible estimator methods
seems like a good thing. Perusing the sklearn github, it seems that there
are is demand for extending the parameters pipeline accepts.
If the yourself and the community prefer not to, that's fine. I think it is
worth discussion though.
On Wed, Jun 24, 2015 at 2:47 PM, Joel Nothman <joel.noth...@gmail.com>
wrote:
> What estimators have predict with multiple args? Without support for same
> in cross validation routines and scorers, isn't t easier to write this
> functionality in custom code as you need it, leaving the predictor off the
> Pipeline?
>
> On 25 June 2015 at 06:06, Michael Kneier <michael.kne...@gmail.com> wrote:
>
>> Hi all,
>>
>> It doesn't look like pipelines currently support passing kwargs to their
>> estimators' predict method. I think it would be great to add this
>> functionality, but I want to get your thoughts before I open a PR.
>>
>> Thanks,
>> Mike
>>
>>
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