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Add MLSMOTE algorithm to imblearn#927

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balvisio wants to merge33 commits intoscikit-learn-contrib:master
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balvisio
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@balvisiobalvisio commentedSep 21, 2022•
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What does this implement/fix? Explain your changes.

This is an implementation of the Multilabel SMOTE (MLSMOTE) algorithm described in the paper:

Charte, F. & Rivera Rivas, Antonio & Del Jesus, María José & Herrera, Francisco. (2015). MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowledge-Based Systems. -. 10.1016/j.knosys.2015.07.019.

It is an oversampling technique that AFAIK there is no open-source implementation yet.

Addresses:#340

Any other comments?

The implementation is ready to be reviewed. Once reviewed, I can squash the commits for cleaner history.

h-holm and hbeybutyan reacted with thumbs up emoji
balvisioand others added24 commitsSeptember 18, 2022 10:06
Co-authored-by: Bruno Alvisio <bruno.alvisio@gmail.com>Co-authored-by: Simon Ermler <simon_ermler@web.de>
@balvisiobalvisio changed the titleBa/mlsmoteAdd MLSMOTE algorithm to imlearnSep 21, 2022
@balvisiobalvisio changed the titleAdd MLSMOTE algorithm to imlearnAdd MLSMOTE algorithm to imblearnSep 21, 2022
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codecovbot commentedSep 21, 2022•
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Codecov Report

Attention: Patch coverage is95.11111% with11 lines in your changes missing coverage. Please review.

Project coverage is 93.33%. Comparing base(6176807) to head(70e1f96).
Report is 115 commits behind head on master.

Files with missing linesPatch %Lines
imblearn/over_sampling/_mlsmote.py92.25%6 Missing and 5 partials⚠️
Additional details and impacted files
@@            Coverage Diff             @@##           master     #927      +/-   ##==========================================- Coverage   97.19%   93.33%   -3.87%==========================================  Files          97       96       -1       Lines        6348     6422      +74       Branches      711      582     -129     ==========================================- Hits         6170     5994     -176- Misses        106      363     +257+ Partials       72       65       -7

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This was referencedSep 21, 2022
@rjurney
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@balvisio Thank you! You are a scholar and a gentleman.

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@balvisio
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thank you@rjurney , my pleasure. Looking forward to any feedback.

@h-holm
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Thanks for the great work,@balvisio! Do we have any news on this PR?

@balvisio
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Hello@h-holm , thank you. I am waiting for the maintainers to review the code so that the PR can be merged.

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@h-holm
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Thanks for the update,@balvisio. Crossing my fingers that@glemaitre and others can chip in when time allows, as this would be a great addition 🤞

@enewhuis
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Is this just waiting on fixing the test coverage? ....and rebase?

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