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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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codecovbot commentedDec 3, 2022•
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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 FilesCoverage Δ
imblearn/combine/_smote_enn.py100.00% <ø> (ø)
imblearn/combine/_smote_tomek.py100.00% <ø> (ø)
imblearn/ensemble/_weight_boosting.py83.06% <ø> (+3.22%)⬆️
imblearn/over_sampling/_adasyn.py87.50% <ø> (ø)
imblearn/over_sampling/_random_over_sampler.py100.00% <ø> (ø)
imblearn/over_sampling/_smote/base.py98.00% <ø> (ø)
imblearn/over_sampling/_smote/filter.py88.03% <ø> (ø)
imblearn/pipeline.py94.56% <ø> (ø)
...rototype_selection/_condensed_nearest_neighbour.py100.00% <ø> (ø)
..._prototype_selection/_edited_nearest_neighbours.py99.17% <ø> (ø)
... and15 more

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@glemaitreglemaitre merged commitb224f6d intoscikit-learn-contrib:masterDec 3, 2022
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@glemaitre
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