Maybe we can discuss this in
https://github.com/scikit-learn/scikit-learn/issues/14386 ?
I think I have come to agree that we should just do 1.0 and if we want
to make any big changes that should be 2.0.
On 12/4/19 6:19 AM, Andrew Howe wrote:
That is an impressive roadmap, and I certainly applaud the desire for
perfection. That said, I feel that it is past time to bring sklearn
out of beta. Most of what's on the roadmap looks like it would fit
quite well into continuing development of a "stable" package, with no
(or at least few) backwards-compatibility issues.
just my 2 cents.
Andrew
<~~~~~~~~~~~~~~~~~~~~~~~~~~~>
J. Andrew Howe, PhD
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<~~~~~~~~~~~~~~~~~~~~~~~~~~~>
On Wed, Dec 4, 2019 at 10:04 AM Joel Nothman <[email protected]
<mailto:[email protected]>> wrote:
The stacked estimators was certainly a team effort!
I am excited that we've finally got a consistent solution to using
approximate nearest neighbors with our neighbors-based learners.
Why is it still version <1? Perhaps it shouldn't be. But it can be
hard to set aside perfectionism!
And there's so much on the roadmap
(https://scikit-learn.org/stable/roadmap.html). But perhaps you've
got a point.
On Wed, 4 Dec 2019 at 20:45, Andrew Howe <[email protected]
<mailto:[email protected]>> wrote:
This is an excellent release with some very cool new features!
I'm quite chuffed about the stacked estimators especially.
Great job team!
Scikit-learn is incredibly well-supported and tremendously
full-featured. I have to ask; why is it still in beta?
Andrew
<~~~~~~~~~~~~~~~~~~~~~~~~~~~>
J. Andrew Howe, PhD
LinkedIn Profile <http://www.linkedin.com/in/ahowe42>
ResearchGate Profile
<http://www.researchgate.net/profile/John_Howe12/>
Open Researcher and Contributor ID (ORCID)
<http://orcid.org/0000-0002-3553-1990>
Github Profile <http://github.com/ahowe42>
Personal Website <http://www.andrewhowe.com>
I live to learn, so I can learn to live. - me
<~~~~~~~~~~~~~~~~~~~~~~~~~~~>
On Tue, Dec 3, 2019 at 12:53 PM Adrin <[email protected]
<mailto:[email protected]>> wrote:
We're happy to announce the 0.22 release. You can read
the release highlights under
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
and the long version of the change log under
https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22.
This version supports Python versions 3.5 to 3.8. You can
give it a go using `pip install -U scikit-learn` while
conda and conda forge binaries are coming.
Regards,
Adrin, on behalf of the scikit-learn maintainer team.
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