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Feature/add mlsmote#707

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SimonErm wants to merge10 commits intoscikit-learn-contrib:master
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SimonErm
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Reference Issue

The motivation for this PR is mentioned in#340

What does this implement/fix? Explain your changes.

The PR implements MLSMOTE like discribed inCharte, 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.

Any other comments?

This implementation is missing lots of validation, sparse matrix support, pandas support and has a bad perfromance. It's alread open because of@chkoar s suggestion in the referenced Issue(#340 ).
Since i am not an experienced python developer i am thankful for every suggestion for improvement

@pep8speaks
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pep8speaks commentedMay 10, 2020•
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Hello@SimonErm! Thanks for updating this PR. We checked the lines you've touched forPEP 8 issues, and found:

Line 6:1:E302 expected 2 blank lines, found 0
Line 33:80:E501 line too long (100 > 79 characters)
Line 34:80:E501 line too long (102 > 79 characters)
Line 35:70:W291 trailing whitespace
Line 39:80:E501 line too long (89 > 79 characters)
Line 70:1:W293 blank line contains whitespace
Line 87:80:E501 line too long (80 > 79 characters)
Line 102:80:E501 line too long (107 > 79 characters)
Line 125:80:E501 line too long (96 > 79 characters)
Line 126:80:E501 line too long (95 > 79 characters)
Line 156:80:E501 line too long (87 > 79 characters)
Line 163:67:W291 trailing whitespace
Line 182:80:E501 line too long (119 > 79 characters)
Line 184:80:E501 line too long (113 > 79 characters)
Line 196:80:E501 line too long (126 > 79 characters)
Line 240:80:E501 line too long (80 > 79 characters)
Line 247:39:E741 ambiguous variable name 'l'
Line 250:55:E741 ambiguous variable name 'l'
Line 261:15:E741 ambiguous variable name 'l'
Line 279:80:E501 line too long (80 > 79 characters)

Comment last updated at 2020-06-16 17:16:28 UTC

@lgtm-com
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This pull requestintroduces 5 alerts when merging948da4a intob861b3a -view on LGTM.com

new alerts:

  • 2 for Mismatch in multiple assignment
  • 2 for Unused import
  • 1 for Unused local variable

@lgtm-com
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This pull requestintroduces 4 alerts when mergingbef0487 intob861b3a -view on LGTM.com

new alerts:

  • 2 for Mismatch in multiple assignment
  • 2 for Unused import

@codecov
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codecovbot commentedJun 16, 2020•
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Codecov Report

Merging#707 intomaster willdecrease coverage by2.09%.
The diff coverage is98.65%.

Impacted file tree graph

@@            Coverage Diff             @@##           master     #707      +/-   ##==========================================- Coverage   98.65%   96.55%   -2.10%==========================================  Files          82       82                Lines        4907     5140     +233     ==========================================+ Hits         4841     4963     +122- Misses         66      177     +111
Impacted FilesCoverage Δ
imblearn/ensemble/tests/test_forest.py100.00% <ø> (ø)
imblearn/utils/_show_versions.py100.00% <ø> (ø)
imblearn/ensemble/_forest.py97.36% <92.85%> (-0.55%)⬇️
imblearn/ensemble/_bagging.py97.82% <94.44%> (-2.18%)⬇️
imblearn/utils/estimator_checks.py95.60% <96.34%> (-1.08%)⬇️
imblearn/_version.py100.00% <100.00%> (ø)
imblearn/combine/_smote_enn.py100.00% <100.00%> (ø)
imblearn/combine/_smote_tomek.py100.00% <100.00%> (ø)
imblearn/datasets/_imbalance.py88.23% <100.00%> (+1.56%)⬆️
imblearn/datasets/_zenodo.py96.77% <100.00%> (+0.10%)⬆️
... and56 more

Continue to review full report at Codecov.

Legend -Click here to learn more
Δ = absolute <relative> (impact),ø = not affected,? = missing data
Powered byCodecov. Last updateb861b3a...3361578. Read thecomment docs.

@lgtm-com
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This pull requestintroduces 5 alerts when merging3361578 into2a0376e -view on LGTM.com

new alerts:

  • 3 for Unused local variable
  • 2 for Unused import

@aaronbriel
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@SimonErm is this PR still in progress?

@SimonErm
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The current state of the implementation is working for me, but i think it's far from being ready to be merged into this package.
I currently don't have enough time to do a correct integration and i didn't got feedback so far.
I would declare this PR as inactive.

@aaronbriel
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aaronbriel commentedJul 9, 2020•
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@SimonErm Thanks for the reply.

@chkoarchkoar mentioned this pull requestAug 30, 2020
@rjurney
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I really want this.

ohmeow, ibirle, xor-xor, JanKalo, coffenbacher, AndreasRoither, nroldanf, spnichol, kalfasyan, taronling, and 4 more reacted with thumbs up emoji

@balvisio
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Hi all, I was wondering if someone is working on this or similar implementation of MLSMOTE. I am interested in trying this algorithm. I might have some time to try to implement it. Would anyone be able to review it?

@chkoar
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Hi all, I was wondering if someone is working on this or similar implementation of MLSMOTE. I am interested in trying this algorithm. I might have some time to try to implement it. Would anyone be able to review it?

Contributions are always more than welcome

balvisio reacted with thumbs up emoji

@balvisio
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@chkoar : Here is a PR that implements MLSMOTE:#927

h-holm reacted with thumbs up emoji

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@SimonErm@pep8speaks@aaronbriel@rjurney@balvisio@chkoar
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