The right thing to do would probably be to write a scikit-learn-contrib
package for them and see if they gather traction. If they perform well on
eg kaggle competitions, we know that we need them in :).
Cheers,
Gaël
On Fri, Jul 21, 2017 at 07:09:03PM -0400, Sebastian Raschka wrote:
> Maybe becau
Is it possible to show additional information such as current value of the
loss function etc in MLPClassifier. Apparently verbose=TRue does not make
any difference.
Thanks
--
Renato
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The difference is the functional form versus the context manager. you can't
add extra parameters to the function, only to the context manager.
On 27 Jul 2017 12:56 am, "Andreas Mueller" wrote:
> Hm, it would be nice to do this in a way that relies less on pytest, but I
> guess that would be tric
