Replace thredshold argument to binned metrics

[SkafteNicki]

Before submitting

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• 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 #265
Adds threshold argument to binned metrics for manually control which thresholds to use

cc: @maximsch2

PR review

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[pep8speaks]

Hello @SkafteNicki! Thanks for updating this PR.

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

Comment last updated at 2021-06-28 21:35:21 UTC

[codecov]

Codecov Report

Merging #322 (3763c4d) into master (578c8f5) will decrease coverage by 20.83%.
The diff coverage is 57.14%.

@@             Coverage Diff             @@
##           master     #322       +/-   ##
===========================================
- Coverage   96.54%   75.71%   -20.84%     
===========================================
  Files         111      111               
  Lines        3536     3541        +5     
===========================================
- Hits         3414     2681      -733     
- Misses        122      860      +738     

Flag	Coverage Δ
Linux	75.71% <57.14%> (-0.10%)	⬇️
Windows	75.71% <57.14%> (-0.10%)	⬇️
cpu	75.71% <57.14%> (-20.79%)	⬇️
gpu	?
macOS	75.71% <57.14%> (-20.79%)	⬇️
pytest	75.71% <57.14%> (-20.84%)	⬇️
python3.6	?
python3.8	?
python3.9	?
torch1.3.1	?
torch1.4.0	?
torch1.9.0	?

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

Impacted Files	Coverage Δ
torchmetrics/regression/psnr.py	100.00% <ø> (ø)
torchmetrics/regression/ssim.py	100.00% <ø> (ø)
...hmetrics/classification/binned_precision_recall.py	89.04% <57.14%> (-10.96%)	⬇️
torchmetrics/utilities/distributed.py	17.24% <0.00%> (-81.04%)	⬇️
torchmetrics/image/kid.py	17.44% <0.00%> (-79.07%)	⬇️
torchmetrics/image/inception.py	30.00% <0.00%> (-65.00%)	⬇️
torchmetrics/image/fid.py	30.23% <0.00%> (-52.33%)	⬇️
torchmetrics/classification/auc.py	50.00% <0.00%> (-50.00%)	⬇️
torchmetrics/classification/kldivergence.py	37.50% <0.00%> (-50.00%)	⬇️
torchmetrics/functional/classification/auroc.py	46.26% <0.00%> (-40.30%)	⬇️
... and 69 more

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[tchaton]

LGTM !

[maximsch2]

Awesome, thanks for improving this!