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[MRG] ENH: Geometric-SMOTE implementation#882

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joaopfonseca wants to merge7 commits intoscikit-learn-contrib:master
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Reference Issue

Fixes#881

What does this implement/fix? Explain your changes.

Implements the Geometric SMOTE, as described inGeometric SMOTE a geometrically enhanced drop-in replacement for SMOTE by Douzas and Bacao.

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This pull requestintroduces 1 alert when mergingfa3ffe5 intof1abf75 -view on LGTM.com

new alerts:

  • 1 for Unused import

@joaopfonsecajoaopfonseca changed the title[MRG] ENH: Geometric-SMOTE implementation[WIP] ENH: Geometric-SMOTE implementationDec 18, 2021
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codecovbot commentedDec 18, 2021•
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Codecov Report

Attention: Patch coverage is98.90110% with2 lines in your changes missing coverage. Please review.

Project coverage is 97.26%. Comparing base(f1abf75) to head(c9945c0).
Report is 126 commits behind head on master.

Files with missing linesPatch %Lines
imblearn/over_sampling/_smote/geometric.py97.84%1 Missing and 1 partial⚠️
Additional details and impacted files
@@            Coverage Diff             @@##           master     #882      +/-   ##==========================================+ Coverage   97.21%   97.26%   +0.04%==========================================  Files          96       98       +2       Lines        6253     6435     +182       Branches      712      733      +21     ==========================================+ Hits         6079     6259     +180- Misses        103      104       +1- Partials       71       72       +1

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@joaopfonsecajoaopfonsecaforce-pushed thegeometric-smote branch 2 times, most recently fromb8907f6 toa2fadccCompareDecember 20, 2021 08:09
@joaopfonsecajoaopfonseca changed the title[WIP] ENH: Geometric-SMOTE implementation[MRG] ENH: Geometric-SMOTE implementationDec 20, 2021
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joaopfonseca commentedDec 20, 2021•
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@glemaitre,@chkoar I believe this is ready for revision. Some of the tests are not passing but from my understanding they are not related to the modifications in this PR.

If I may add, I just noticed imbalanced-learn's SMOTE-based over-samplers are only implementing modifications to the data selection mechanism. Geometric-SMOTE is a modification to the data generation mechanism. I hope you find this implementation useful and appropriate.

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[ENH] Add Geometric-SMOTE to imbalanced-learn
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