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The current tests fail with later scikit-learn releases in several places, because the code relies on classes and attributes that have been removed.
I would suggest using 0.20 from Sept 2018 as minimum version.
That introduced the current ColumnTransformer and SimpleImputer and OneHotEncoder and so you'd be able to write current sklearn.
I would suggest using 0.20 from Sept 2018 as minimum version.
We had a longer discussion at the Paris workshop on this topic and came to the conclusion that we try to allow multiple versions where possible. We should discuss how to proceed at the next workshop.
Anyway, I totally agree that we also need to test 0.21.X.
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mfeurer commentedon Jul 24, 2019
We had a longer discussion at the Paris workshop on this topic and came to the conclusion that we try to allow multiple versions where possible. We should discuss how to proceed at the next workshop.
Anyway, I totally agree that we also need to test 0.21.X.
amueller commentedon Jul 24, 2019
Ok I should really work on that CZI grant but happy to look into this soon (cause I'm too lazy to have an extra environment to run openml tests ;)
mfeurer commentedon Jul 26, 2019
Closed via #752.