From guetlein at posteo.de  Wed Jun 14 03:13:47 2023
From: guetlein at posteo.de (=?UTF-8?Q?Martin_G=C3=BCtlein?=)
Date: Wed, 14 Jun 2023 07:13:47 +0000
Subject: [scikit-learn] =?utf-8?q?version_warning_-_do_I_have_to_fix_the_?=
 =?utf-8?q?minor_version_when_unpickling=3F?=
Message-ID: <f7804d3006e7846e091c645e5f79815e@posteo.de>

Hi,

I just got the warning:

"site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle 
estimator DecisionTreeRegressor from version 1.1.2 when using version 
1.2.2. This might lead to breaking code or invalid results. Use at your 
own risk".

because I only fixed the major version (i.e, my dependency is 
"scikit-learn>=1,<2"). I assumed that code version 1.2 is compatible to 
pickeled models from version 1.1. Is this not true?

Do I have to change to fix the minor version instead (i.e., use 
"scikit-learn>=1.2,<1.3")?

Kind regards,
Martin


From g.lemaitre58 at gmail.com  Wed Jun 14 12:24:16 2023
From: g.lemaitre58 at gmail.com (=?UTF-8?Q?Guillaume_Lema=C3=AEtre?=)
Date: Wed, 14 Jun 2023 18:24:16 +0200
Subject: [scikit-learn] version warning - do I have to fix the minor
 version when unpickling?
In-Reply-To: <f7804d3006e7846e091c645e5f79815e@posteo.de>
References: <f7804d3006e7846e091c645e5f79815e@posteo.de>
Message-ID: <CACDxx9h_muV-X-z9KZWjtBny35Vh-S=-VZkBDvz8vQ6FsCMsZg@mail.gmail.com>

Hi Martin,

The public API is stable but the internal can change which can affect the
pickle.
For instance, calling a missing private function that does not exist can
happen.
Since that we don?t guarantee any support in this regard, this is the
reason why a warning is raised even between minor or patch version.

Cheers,

On Wed, 14 Jun 2023 at 09:34, Martin G?tlein <guetlein at posteo.de> wrote:

> Hi,
>
> I just got the warning:
>
> "site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle
> estimator DecisionTreeRegressor from version 1.1.2 when using version
> 1.2.2. This might lead to breaking code or invalid results. Use at your
> own risk".
>
> because I only fixed the major version (i.e, my dependency is
> "scikit-learn>=1,<2"). I assumed that code version 1.2 is compatible to
> pickeled models from version 1.1. Is this not true?
>
> Do I have to change to fix the minor version instead (i.e., use
> "scikit-learn>=1.2,<1.3")?
>
> Kind regards,
> Martin
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>


-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
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From guetlein at posteo.de  Thu Jun 15 02:47:26 2023
From: guetlein at posteo.de (=?UTF-8?Q?Martin_G=C3=BCtlein?=)
Date: Thu, 15 Jun 2023 06:47:26 +0000
Subject: [scikit-learn] 
 =?utf-8?q?version_warning_-_do_I_have_to_fix_the_?=
 =?utf-8?q?minor_version_when_unpickling=3F?=
In-Reply-To: <CACDxx9h_muV-X-z9KZWjtBny35Vh-S=-VZkBDvz8vQ6FsCMsZg@mail.gmail.com>
References: <f7804d3006e7846e091c645e5f79815e@posteo.de>
 <CACDxx9h_muV-X-z9KZWjtBny35Vh-S=-VZkBDvz8vQ6FsCMsZg@mail.gmail.com>
Message-ID: <70113514fc5d4cae7b6626a5438344bc@posteo.de>

Hi Guillaume,

thanks for your swift reply. So that means we should even fix the patch 
version, right?

And, this goes into both directions? So the service executing the code 
should not have a newer version, not even a patch, then the version the 
pickeled model was built with?

Cheers, Martin


Am 14.06.2023 18:24 schrieb Guillaume Lema?tre:
> Hi Martin,
> 
> The public API is stable but the internal can change which can affect
> the pickle.
> For instance, calling a missing private function that does not exist
> can happen.
> Since that we don?t guarantee any support in this regard, this is
> the reason why a warning is raised even between minor or patch
> version.
> 
> Cheers,
> 
> On Wed, 14 Jun 2023 at 09:34, Martin G?tlein <guetlein at posteo.de>
> wrote:
> 
>> Hi,
>> 
>> I just got the warning:
>> 
>> "site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle
>> 
>> estimator DecisionTreeRegressor from version 1.1.2 when using
>> version
>> 1.2.2. This might lead to breaking code or invalid results. Use at
>> your
>> own risk".
>> 
>> because I only fixed the major version (i.e, my dependency is
>> "scikit-learn>=1,<2"). I assumed that code version 1.2 is
>> compatible to
>> pickeled models from version 1.1. Is this not true?
>> 
>> Do I have to change to fix the minor version instead (i.e., use
>> "scikit-learn>=1.2,<1.3")?
>> 
>> Kind regards,
>> Martin
>> 
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn at python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn [1]
> 
> --
> 
> Guillaume Lemaitre
> 
> Scikit-learn @ Inria Foundation
> https://glemaitre.github.io/ [2]
> 
> Links:
> ------
> [1] https://mail.python.org/mailman/listinfo/scikit-learn
> [2] https://glemaitre.github.io/
> 
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn

From g.lemaitre58 at gmail.com  Thu Jun 15 04:12:04 2023
From: g.lemaitre58 at gmail.com (=?UTF-8?Q?Guillaume_Lema=C3=AEtre?=)
Date: Thu, 15 Jun 2023 10:12:04 +0200
Subject: [scikit-learn] version warning - do I have to fix the minor
 version when unpickling?
In-Reply-To: <70113514fc5d4cae7b6626a5438344bc@posteo.de>
References: <f7804d3006e7846e091c645e5f79815e@posteo.de>
 <CACDxx9h_muV-X-z9KZWjtBny35Vh-S=-VZkBDvz8vQ6FsCMsZg@mail.gmail.com>
 <70113514fc5d4cae7b6626a5438344bc@posteo.de>
Message-ID: <CACDxx9jB3CPo2YZcVic7PiqFa3img01vhkW4_j_zhVOqoc0Mqw@mail.gmail.com>

On Thu, 15 Jun 2023 at 08:47, Martin G?tlein <guetlein at posteo.de> wrote:

> Hi Guillaume,
>
> thanks for your swift reply. So that means we should even fix the patch
> version, right?
>

Indeed, this is the safest.

Be aware that you can always try a newer version but it would require a good
stress test to be sure that the underlying private API did not change. I can
understand that it might be difficult to do so.

Regarding versioning, when releasing a new patch version, we only include
bug fixes. So it should be limited changes and localized change but we do
not constrain ourselves to not change the private functions if it is
required.


> And, this goes into both directions? So the service executing the code
> should not have a newer version, not even a patch, then the version the
> pickeled model was built with?
>

Indeed, once you unpickled the model and interact with it, you should be in
an environment that has the same version as the pickle to be safe.


>
> Cheers, Martin
>
>
> Am 14.06.2023 18:24 schrieb Guillaume Lema?tre:
> > Hi Martin,
> >
> > The public API is stable but the internal can change which can affect
> > the pickle.
> > For instance, calling a missing private function that does not exist
> > can happen.
> > Since that we don?t guarantee any support in this regard, this is
> > the reason why a warning is raised even between minor or patch
> > version.
> >
> > Cheers,
> >
> > On Wed, 14 Jun 2023 at 09:34, Martin G?tlein <guetlein at posteo.de>
> > wrote:
> >
> >> Hi,
> >>
> >> I just got the warning:
> >>
> >> "site-packages/sklearn/base.py:318: UserWarning: Trying to unpickle
> >>
> >> estimator DecisionTreeRegressor from version 1.1.2 when using
> >> version
> >> 1.2.2. This might lead to breaking code or invalid results. Use at
> >> your
> >> own risk".
> >>
> >> because I only fixed the major version (i.e, my dependency is
> >> "scikit-learn>=1,<2"). I assumed that code version 1.2 is
> >> compatible to
> >> pickeled models from version 1.1. Is this not true?
> >>
> >> Do I have to change to fix the minor version instead (i.e., use
> >> "scikit-learn>=1.2,<1.3")?
> >>
> >> Kind regards,
> >> Martin
> >>
> >> _______________________________________________
> >> scikit-learn mailing list
> >> scikit-learn at python.org
> >> https://mail.python.org/mailman/listinfo/scikit-learn [1]
> >
> > --
> >
> > Guillaume Lemaitre
> >
> > Scikit-learn @ Inria Foundation
> > https://glemaitre.github.io/ [2]
> >
> > Links:
> > ------
> > [1] https://mail.python.org/mailman/listinfo/scikit-learn
> > [2] https://glemaitre.github.io/
> >
> > _______________________________________________
> > scikit-learn mailing list
> > scikit-learn at python.org
> > https://mail.python.org/mailman/listinfo/scikit-learn
>


-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
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From jeremie.du-boisberranger at inria.fr  Thu Jun 15 15:31:18 2023
From: jeremie.du-boisberranger at inria.fr (Jeremie du Boisberranger)
Date: Thu, 15 Jun 2023 21:31:18 +0200
Subject: [scikit-learn] [ANN] scikit-learn 1.3.0rc1 is online!
In-Reply-To: <ceb09d51-1635-53ef-b7db-f3c6ed07bc56@inria.fr>
References: <CAFvE7K7XJShY9=Y_G-_kim7S-4DkWd4iVjF-n3uCwFUtYR6Oew@mail.gmail.com>
 <5f1f099d-371a-3127-8bff-dc51d6439cce@inria.fr>
 <ceb09d51-1635-53ef-b7db-f3c6ed07bc56@inria.fr>
Message-ID: <fbe186d8-0766-aad5-6553-9245c631f326@inria.fr>

Hi everyone,

Please help us test the first release candidate for scikit-learn 1.3.0:

 ?? pip install scikit-learn==1.3.0rc1

Changelog:https://scikit-learn.org/1.3/whats_new/v1.3.html

In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.

Thanks to everyone who contributed to this release!


J?r?mie,

on behalf of the scikit-learn maintainer team.


From g.lemaitre58 at gmail.com  Fri Jun 16 02:09:23 2023
From: g.lemaitre58 at gmail.com (=?UTF-8?Q?Guillaume_Lema=C3=AEtre?=)
Date: Fri, 16 Jun 2023 08:09:23 +0200
Subject: [scikit-learn] [ANN] scikit-learn 1.3.0rc1 is online!
In-Reply-To: <fbe186d8-0766-aad5-6553-9245c631f326@inria.fr>
References: <CAFvE7K7XJShY9=Y_G-_kim7S-4DkWd4iVjF-n3uCwFUtYR6Oew@mail.gmail.com>
 <5f1f099d-371a-3127-8bff-dc51d6439cce@inria.fr>
 <ceb09d51-1635-53ef-b7db-f3c6ed07bc56@inria.fr>
 <fbe186d8-0766-aad5-6553-9245c631f326@inria.fr>
Message-ID: <CACDxx9j=B=9HZPuu__FWVYecK4OAEPSFXtpomGe2CdSF2ozpyQ@mail.gmail.com>

Thank you Jeremie for taking care of this release.

On Thu, 15 Jun 2023 at 21:33, Jeremie du Boisberranger <
jeremie.du-boisberranger at inria.fr> wrote:

> Hi everyone,
>
> Please help us test the first release candidate for scikit-learn 1.3.0:
>
>     pip install scikit-learn==1.3.0rc1
>
> Changelog:https://scikit-learn.org/1.3/whats_new/v1.3.html
>
> In particular, if you maintain a project with a dependency on
> scikit-learn, please let us know about any regression.
>
> Thanks to everyone who contributed to this release!
>
>
> J?r?mie,
>
> on behalf of the scikit-learn maintainer team.
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>


-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
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From gael.varoquaux at normalesup.org  Fri Jun 16 02:50:59 2023
From: gael.varoquaux at normalesup.org (Gael Varoquaux)
Date: Fri, 16 Jun 2023 08:50:59 +0200
Subject: [scikit-learn] [ANN] scikit-learn 1.3.0rc1 is online!
In-Reply-To: <CACDxx9j=B=9HZPuu__FWVYecK4OAEPSFXtpomGe2CdSF2ozpyQ@mail.gmail.com>
References: <CAFvE7K7XJShY9=Y_G-_kim7S-4DkWd4iVjF-n3uCwFUtYR6Oew@mail.gmail.com>
 <5f1f099d-371a-3127-8bff-dc51d6439cce@inria.fr>
 <ceb09d51-1635-53ef-b7db-f3c6ed07bc56@inria.fr>
 <fbe186d8-0766-aad5-6553-9245c631f326@inria.fr>
 <CACDxx9j=B=9HZPuu__FWVYecK4OAEPSFXtpomGe2CdSF2ozpyQ@mail.gmail.com>
Message-ID: <20230616065059.xnn46chajo2q7wdg@gaellaptop>

Yes indeed. Thank you heaps J?r?mie!!

Ga?l

On Fri, Jun 16, 2023 at 08:09:23AM +0200, Guillaume Lema?tre wrote:
> Thank you Jeremie for taking care of this release.

> On Thu, 15 Jun 2023 at 21:33, Jeremie du Boisberranger <
> jeremie.du-boisberranger at inria.fr> wrote:

>     Hi everyone,

>     Please help us test the first release candidate for scikit-learn 1.3.0:

>     ??? pip install scikit-learn==1.3.0rc1

>     Changelog:https://scikit-learn.org/1.3/whats_new/v1.3.html

>     In particular, if you maintain a project with a dependency on
>     scikit-learn, please let us know about any regression.

>     Thanks to everyone who contributed to this release!


>     J?r?mie,

>     on behalf of the scikit-learn maintainer team.

>     _______________________________________________
>     scikit-learn mailing list
>     scikit-learn at python.org
>     https://mail.python.org/mailman/listinfo/scikit-learn
-- 
    Gael Varoquaux
    Research Director, INRIA
    http://gael-varoquaux.info            http://twitter.com/GaelVaroquaux

From betatim at gmail.com  Wed Jun 21 08:00:30 2023
From: betatim at gmail.com (Tim Head)
Date: Wed, 21 Jun 2023 14:00:30 +0200
Subject: [scikit-learn] Nightly wheels now uploaded to a new location
Message-ID: <CAN3x1RaTJV0KZJboUM06Jom8M9ORGC-czSKySoT3bGeLR1tPrg@mail.gmail.com>

Hello all,

The location to which the scikit-learn nightly wheels are uploaded has
changed. They are now hosted at:
https://anaconda.org/scientific-python-nightly-wheels. We will no longer
upload wheels to the old location.

Please update your CI and other tools where you make use of the nightlies
to refer to the new location.

The instructions for how to use the nightlies (
https://scikit-learn.org/dev/developers/advanced_installation.html#installing-nightly-builds)
have been updated.

The other wheels (numpy, scipy, etc) that used to be uploaded to the old
location have also been moved.

Please let us know about problems you find by replying to
https://github.com/scikit-learn/scikit-learn/pull/26417.

Tim
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From jeremie.du-boisberranger at inria.fr  Fri Jun 30 04:11:47 2023
From: jeremie.du-boisberranger at inria.fr (Jeremie du Boisberranger)
Date: Fri, 30 Jun 2023 10:11:47 +0200
Subject: [scikit-learn] [ANN] scikit-learn 1.3.0 release
In-Reply-To: <74c75b0c-3729-57fe-22ff-0b37b062f9ed@inria.fr>
References: <CAEOrW4_4kizM-Eu8TipV5ixhS-dxdY1co+p7GmS0e7ji_9SBHg@mail.gmail.com>
 <f71945e5-26b9-91d3-54c0-f818e07b720f@inria.fr>
 <74c75b0c-3729-57fe-22ff-0b37b062f9ed@inria.fr>
Message-ID: <e358df96-7004-bfa9-1d1e-a30990d3af7c@inria.fr>

Hi everyone,

We're happy to announce the 1.3.0 release which you can install via pip 
or conda:

 ??? pip install -U scikit-learn

or (soon)

 ??? conda install -c conda-forge scikit-learn


You can read the release highlights under 
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html 
and the long list of the changes under 
https://scikit-learn.org/stable/whats_new/v1.3.html

This version supports Python versions 3.8 to 3.11.

Thanks to all contributors who helped on this release !

J?r?mie,
On behalf of the scikit-learn maintainers team.

From g.lemaitre58 at gmail.com  Fri Jun 30 04:33:50 2023
From: g.lemaitre58 at gmail.com (=?UTF-8?Q?Guillaume_Lema=C3=AEtre?=)
Date: Fri, 30 Jun 2023 10:33:50 +0200
Subject: [scikit-learn] [ANN] scikit-learn 1.3.0 release
In-Reply-To: <e358df96-7004-bfa9-1d1e-a30990d3af7c@inria.fr>
References: <CAEOrW4_4kizM-Eu8TipV5ixhS-dxdY1co+p7GmS0e7ji_9SBHg@mail.gmail.com>
 <f71945e5-26b9-91d3-54c0-f818e07b720f@inria.fr>
 <74c75b0c-3729-57fe-22ff-0b37b062f9ed@inria.fr>
 <e358df96-7004-bfa9-1d1e-a30990d3af7c@inria.fr>
Message-ID: <CACDxx9hwnR0q+R_gHFt+N0XatHeaon2zp2nNVqqqzkinwZ8Znw@mail.gmail.com>

Thank you Jeremie to have taking care of this release.

On Fri, 30 Jun 2023 at 10:13, Jeremie du Boisberranger <
jeremie.du-boisberranger at inria.fr> wrote:

> Hi everyone,
>
> We're happy to announce the 1.3.0 release which you can install via pip
> or conda:
>
>      pip install -U scikit-learn
>
> or (soon)
>
>      conda install -c conda-forge scikit-learn
>
>
> You can read the release highlights under
>
> https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html
> and the long list of the changes under
> https://scikit-learn.org/stable/whats_new/v1.3.html
>
> This version supports Python versions 3.8 to 3.11.
>
> Thanks to all contributors who helped on this release !
>
> J?r?mie,
> On behalf of the scikit-learn maintainers team.
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>


-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
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