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[MRG] EHN make_imbalance handle multi-class #312

merged 2 commits into from Aug 3, 2017


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glemaitre commented Aug 3, 2017

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 from [WIP] EHN make_imbalance handle multi-class to [MRG] EHN make_imbalance handle multi-class Aug 3, 2017


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glemaitre commented Aug 3, 2017

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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glemaitre commented Aug 3, 2017

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

5 checks passed

ci/circleci Your tests passed on CircleCI!
codecov/patch 100% of diff hit (target 98.33%)
codecov/project Absolute coverage decreased by -0.01% but relative coverage increased by +1.66% compared to f695fb7
continuous-integration/appveyor/pr AppVeyor build succeeded
continuous-integration/travis-ci/pr The Travis CI build passed
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