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 Lemaître:
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 Gütlein <guetl...@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
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https://glemaitre.github.io/ [2]
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