Added matthews correlation coefficient loss

[sarthakpati]

Fixes #705

Proposed Changes

• added mcc loss
• updated function for generic loss calculation using either 1-criteria or -log
• updated comments
• blacked a few files
• added print for penalty weights

Checklist

• I have read the CONTRIBUTING guide.
• My PR is based from the current GaNDLF master .
• Non-breaking change (does not break existing functionality): provide as many details as possible for any breaking change.
• Function/class source code documentation added/updated.
• Code has been blacked for style consistency.
• If applicable, version information has been updated in GANDLF/version.py.
• If adding a git submodule, add to list of exceptions for black styling in pyproject.toml file.
• Usage documentation has been updated, if appropriate.
• Tests added or modified to cover the changes; if coverage is reduced, please give explanation.
• If customized dependency installation is required (i.e., a separate pip install step is needed for PR to be functional), please ensure it is reflected in all the files that control the CI, namely: python-test.yml, and all docker files [1,2,3].

[github-actions]

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

[Geeks-Sid]

This PR does more than adding MCC. :) But it looks good to me.

[codecov]

Codecov Report

Merging #706 (b68b0ee) into master (b5338fe) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master     #706   +/-   ##
=======================================
  Coverage   94.68%   94.69%           
=======================================
  Files         117      117           
  Lines        8228     8243   +15     
=======================================
+ Hits         7791     7806   +15     
  Misses        437      437           

Flag	Coverage Δ
unittests	94.69% <100.00%> (+<0.01%)	⬆️

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

Files Changed	Coverage Δ
GANDLF/losses/__init__.py	100.00% <ø> (ø)
GANDLF/utils/modelio.py	84.21% <ø> (-0.17%)	⬇️
testing/test_full.py	99.16% <ø> (ø)
GANDLF/compute/generic.py	94.59% <100.00%> (+0.30%)	⬆️
GANDLF/losses/segmentation.py	98.90% <100.00%> (+0.19%)	⬆️

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