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The upper limit (<1.6.0) prevents the use of the latest stable version of scikit-learn (1.6.0). This creates conflicts in projects where scikit-learn is already updated to the latest version.
Note:
Previously, the function sklearn.metrics.mean_squared_error allowed the RMSE calculation with the argument squared=True. However, in scikit-learn1.6.0, the squared argument has been removed. Instead, a dedicated function, sklearn.metrics.root_mean_squared_error, has been introduced.
Admittedly, such a breaking change in a minor version release (1.6.0) was unexpected, as this would typically be reserved for a major version update. Regardless, it impacts the compatibility between evidently and scikit-learn in its latest release.
The text was updated successfully, but these errors were encountered:
Hello!
I’ve encountered a compatibility issue with the current
install_requires
setting in thesetup.py
file:The upper limit (
<1.6.0
) prevents the use of the latest stable version ofscikit-learn
(1.6.0
). This creates conflicts in projects wherescikit-learn
is already updated to the latest version.Note:
Previously, the function
sklearn.metrics.mean_squared_error
allowed the RMSE calculation with the argumentsquared=True
. However, inscikit-learn
1.6.0
, thesquared
argument has been removed. Instead, a dedicated function,sklearn.metrics.root_mean_squared_error
, has been introduced.Admittedly, such a breaking change in a minor version release (
1.6.0
) was unexpected, as this would typically be reserved for a major version update. Regardless, it impacts the compatibility betweenevidently
andscikit-learn
in its latest release.The text was updated successfully, but these errors were encountered: