+1 assuming we are careful about continuing to allow some frequently
used positional arguments, even in __init__.
For instance,
n_components = 10
pca = PCA(n_components)
is still more readable, I think, than,
pca = PCA(n_components=n_components)
--
Roman
On 15/09/2019 00:21, Thomas J Fan wrote:
+1 from me
On Sat, Sep 14, 2019 at 8:12 AM Joel Nothman <joel.noth...@gmail.com
<mailto:joel.noth...@gmail.com>> wrote:
I am +1 for this change.
I agree that users will accommodate the syntax sooner or later.
On Fri., 13 Sep. 2019, 7:54 pm Jeremie du Boisberranger,
<jeremie.du-boisberran...@inria.fr
<mailto:jeremie.du-boisberran...@inria.fr>> wrote:
I don't know what is the policy about a sklearn 1.0 w.r.t api
changes.
If it's meant to be a special release with possible api changes
without deprecation cycles, I think this change is a good
candidate for 1.0
Otherwise I'm +1 and agree with Guillaume, people will get used
to it by using it.
Jérémie
On 12/09/2019 10:06, Guillaume Lemaître wrote:
To the question: do we want to utilise Python 3's
force-keyword-argument syntax
and to change existing APIs which support arguments
positionally to use this
syntax, via a deprecation period?
I am +1.
IMO, even if the syntax might be unknown, it will remain
unknown until projects
from the ecosystem are not using it.
To the question: which methods should be impacted?
I think we should be as gentle as possible at first. I am a
little concerned about
breaking some codes which were working fine before.
On Thu, 12 Sep 2019 at 04:43, Joel Nothman
<joel.noth...@gmail.com <mailto:joel.noth...@gmail.com>> wrote:
These there details of specific API changes to be decided:
The question being put, as per the SLEP, is:
do we want to utilise Python 3's force-keyword-argument syntax
and to change existing APIs which support arguments
positionally to use this syntax, via a deprecation period?
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Guillaume Lemaitre
INRIA Saclay - Parietal team
Center for Data Science Paris-Saclay
https://glemaitre.github.io/
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