[scikit-learn] Vote on SLEP010: n_features_in_ attribute

[Guillaume Lemaître]

I am +1 as well. I think that what proposed by @Joel Nothman
<joel.nothman at gmail.com> should be considered.
It seems that we have cases that we know that it is not meant to have the
parameters (e.g., Vectorizer). I think that it would make sense to have an
estimator tag.
Thus, the FutureWarning for a third-party library might mention adding
n_feature_in_ or adding an estimator tag if it does not apply.

On Sun, 15 Dec 2019 at 23:39, bthirion <bertrand.thirion at inria.fr> wrote:

> +1 for me.
> Best,
> Bertrand
>
> On 03/12/2019 23:09, Nicolas Hug wrote:
>
> As per our Governance <http://scikit-learn.org/stable/governance.html>
> document, changes to API principles are to be established through an
> Enhancement Proposal (SLEP) from which any core developer can call for a
> vote on its acceptance.
>
> *SLEP010: n_features_in attribute *is up for a vote. Please see
> https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/slep010/proposal.html
>
> *This SLEP proposes the introduction of a public n_features_in_ attribute
> for most estimators*
>
> Core developers are invited to vote on this change until 4 January 2020 by
> replying to this email thread.
>
> All members of the community are welcome to comment on the proposal on
> this mailing list, or to propose minor changes through Issues and Pull
> Requests at https://github.com/scikit-learn/enhancement_proposals/.
>
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-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
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