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MAINT add compatibilty for sklearn 1.0 #949

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glemaitre
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Make imbalanced-learn compatible with older scikit-learn 1.0.2

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codecov bot commented Dec 3, 2022

Codecov Report

Base: 96.32% // Head: 96.30% // Decreases project coverage by -0.01% ⚠️

Coverage data is based on head (d96bead) compared to base (8e767d2).
Patch coverage: 90.58% of modified lines in pull request are covered.

Additional details and impacted files
@@            Coverage Diff             @@
##           master     #949      +/-   ##
==========================================
- Coverage   96.32%   96.30%   -0.02%     
==========================================
  Files          95       97       +2     
  Lines        6256     6337      +81     
  Branches      896      911      +15     
==========================================
+ Hits         6026     6103      +77     
- Misses        146      150       +4     
  Partials       84       84              
Impacted Files Coverage Δ
imblearn/combine/_smote_enn.py 100.00% <ø> (ø)
imblearn/combine/_smote_tomek.py 100.00% <ø> (ø)
imblearn/ensemble/_weight_boosting.py 83.06% <ø> (+3.22%) ⬆️
imblearn/over_sampling/_adasyn.py 87.50% <ø> (ø)
imblearn/over_sampling/_random_over_sampler.py 100.00% <ø> (ø)
imblearn/over_sampling/_smote/base.py 98.00% <ø> (ø)
imblearn/over_sampling/_smote/filter.py 88.03% <ø> (ø)
imblearn/pipeline.py 94.56% <ø> (ø)
...rototype_selection/_condensed_nearest_neighbour.py 100.00% <ø> (ø)
..._prototype_selection/_edited_nearest_neighbours.py 99.17% <ø> (ø)
... and 15 more

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@glemaitre glemaitre merged commit b224f6d into scikit-learn-contrib:master Dec 3, 2022
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