multilabel for AveragePrecision

[discort]

Before submitting

• Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
• Did you read the contributor guideline, Pull Request section?
• Did you make sure to update the docs?
• Did you write any new necessary tests?

What does this PR do?

Fixes #359

PR review

@Borda @SkafteNicki

Did you have fun?

⚡⚡⚡

[codecov]

Codecov Report

Merging #386 (49ed27a) into master (73d11e6) will increase coverage by 19.60%.
The diff coverage is 100.00%.

@@             Coverage Diff             @@
##           master     #386       +/-   ##
===========================================
+ Coverage   76.68%   96.29%   +19.60%     
===========================================
  Files         118      118               
  Lines        3719     3722        +3     
===========================================
+ Hits         2852     3584      +732     
+ Misses        867      138      -729     

Flag	Coverage Δ
Linux	76.67% <75.00%> (-0.01%)	⬇️
Windows	76.67% <75.00%> (-0.01%)	⬇️
cpu	76.67% <75.00%> (-0.01%)	⬇️
gpu	96.29% <100.00%> (?)
macOS	76.67% <75.00%> (-0.01%)	⬇️
pytest	96.29% <100.00%> (+19.60%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
...unctional/classification/precision_recall_curve.py	91.02% <100.00%> (+5.69%)	⬆️
torchmetrics/regression/r2.py	94.28% <0.00%> (+2.85%)	⬆️
torchmetrics/regression/explained_variance.py	97.05% <0.00%> (+2.94%)	⬆️
torchmetrics/classification/average_precision.py	96.87% <0.00%> (+3.12%)	⬆️
...chmetrics/classification/precision_recall_curve.py	96.87% <0.00%> (+3.12%)	⬆️
torchmetrics/classification/roc.py	96.77% <0.00%> (+3.22%)	⬆️
torchmetrics/utilities/enums.py	100.00% <0.00%> (+3.44%)	⬆️
torchmetrics/regression/pearson.py	100.00% <0.00%> (+3.84%)	⬆️
torchmetrics/regression/spearman.py	100.00% <0.00%> (+3.84%)	⬆️
torchmetrics/classification/confusion_matrix.py	96.15% <0.00%> (+3.84%)	⬆️
... and 68 more

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[pep8speaks]

Hello @discort! Thanks for updating this PR.

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-07-24 19:56:51 UTC

[awaelchli]

nice!
it compiled without errors

[SkafteNicki]

Implementation looks good, but could we try to fit this testcase inside the already established testing framework?

[Borda]

@SkafteNicki mind revisit?

[SkafteNicki]

LGTM :]