I think you can also use RFECV directly without doing any wrapping.
On 11/20/19 12:24 AM, Brown J.B. via scikit-learn wrote:
Dear Malik,
Your request to do performance checking of the steps of SVM-RFE is a
pretty common task.
Since the contributors to scikit-learn have done great to make
Thanks Tom, let me try to configure this.
--
Olivier
___
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
I agree @sklearn_commits should be OK, especially with name + bio + logo
Funnily enough I have had the opposite experience: some people I talk to
know sklearn, but not scikit-learn
On 11/22/19 11:29 AM, Olivier Grisel wrote:
Le ven. 22 nov. 2019 à 17:24, Gael Varoquaux
a écrit :
I would
> I would like to create @sklearn_commits instead of
> @scikit_learn_commits that is too long to my taste. Any opinion?
Some people do not make the link between "sklearn" and "scikit-learn" :)
We can address that in the name / bio, though.
Gaël
___
Le ven. 22 nov. 2019 à 17:24, Gael Varoquaux
a écrit :
>
> > I would like to create @sklearn_commits instead of
> > @scikit_learn_commits that is too long to my taste. Any opinion?
>
> Some people do not make the link between "sklearn" and "scikit-learn" :)
People who are likely to follow a
Ok, I have sent some invites.
I would like to create @sklearn_commits instead of
@scikit_learn_commits that is too long to my taste. Any opinion?
--
Olivier
___
scikit-learn mailing list
scikit-learn@python.org
Hello team,
Can I double check with you that I understand correctly what the
PolynomialFeatures() is doing under the hood?
If I set it like this:
poly = PolynomialFeatures(degree=3, interaction_only=False,
include_bias=False)
and I fit it on a dataset with 3 variables, a,b and c.
Am I correct
