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[MRG] EHN make_imbalance handle multi-class #312

merged 2 commits into from
Aug 3, 2017


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Reference Issue

closes #283

What does this implement/fix? Explain your changes.

make_imbalance will support multi-class and will have a uniform API with the sampler.

Any other comments?

@glemaitre glemaitre changed the title [WIP] EHN make_imbalance handle multi-class [MRG] EHN make_imbalance handle multi-class Aug 3, 2017
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Appveyor is a bit slower but this should be done.

@massich @chkoar ready for reviews

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codecov bot commented Aug 3, 2017

Codecov Report

Merging #312 into master will decrease coverage by 0.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #312      +/-   ##
- Coverage   98.33%   98.32%   -0.02%     
  Files          68       68              
  Lines        3910     3879      -31     
- Hits         3845     3814      -31     
  Misses         65       65
Impacted Files Coverage Δ
...mpling/prototype_selection/ 100% <ø> (ø) ⬆️
imblearn/datasets/ 100% <100%> (ø) ⬆️
imblearn/utils/tests/ 100% <100%> (ø) ⬆️
imblearn/datasets/tests/ 100% <100%> (ø)
imblearn/ 97.67% <100%> (ø) ⬆️
imblearn/utils/ 100% <100%> (ø) ⬆️

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I need this part now so please review and we will fix it later on.

@glemaitre glemaitre merged commit 1e3fdfe into scikit-learn-contrib:master Aug 3, 2017
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Make make_imbalance more powerful.
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