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Fix Mahalanobis and RMDS methods #93

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Fix Mahalanobis and RMDS methods #93

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@cofri cofri commented Apr 29, 2024 •
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Two bugs are fixed:

  • Mahalanobis: the mean covariance for all classes is now correctly computed based on the total number of images len(features[0]), and not len(features) which equals 1 (features is a list of 1 element).
  • RMDS: the formula for the score is $MD_k - MD_0$

@cofri
fix(Mahalanobis): mean covariance computation
2fd39ba 
len(features) is a list and here equals 1.
Expected value is: len(features[0])
@cofri
fix(RMDS): sign error fixed
c13da98
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☂️ Python Coverage

current status: ✅

Overall Coverage

Lines Covered Coverage Threshold Status
2334 2160 93% 70% 🟢

New Files

No new covered files...

Modified Files

File Coverage Status
oodeel/methods/mahalanobis.py 98% 🟢
oodeel/methods/rmds.py 97% 🟢
TOTAL 98% 🟢

updated for commit: c13da98 by action🐍

@cofri cofri requested review from jdalch and y-prudent April 29, 2024 07:04
@cofri cofri marked this pull request as ready for review April 29, 2024 07:04
jdalch
jdalch reviewed Apr 29, 2024
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LGTM

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@jdalch jdalch jdalch left review comments

@y-prudent y-prudent Awaiting requested review from y-prudent

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@cofri @jdalch