Allow the penalty and class weights in the config to be used

[sarthakpati]

Fixes #676

Proposed Changes

• save previous parameter state, including hash of the training data
• if previous parameter state contains penalty weight and the training data hash is the same, the use them
• alternatively, if penalty and class_weights are found in the config, they are used instead of a (re-)computation

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.
• History 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 ✍️ ✅

[codecov]

Codecov Report

Merging #677 (befd790) into master (048722e) will increase coverage by 0.08%.
The diff coverage is 96.49%.

@@            Coverage Diff             @@
##           master     #677      +/-   ##
==========================================
+ Coverage   94.51%   94.59%   +0.08%     
==========================================
  Files         116      116              
  Lines        8006     8017      +11     
==========================================
+ Hits         7567     7584      +17     
+ Misses        439      433       -6     

Flag	Coverage Δ
unittests	94.59% <96.49%> (+0.08%)	⬆️

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

Impacted Files	Coverage Δ
GANDLF/parseConfig.py	83.78% <ø> (ø)
testing/test_full.py	99.15% <ø> (-0.01%)	⬇️
GANDLF/compute/training_loop.py	83.54% <90.90%> (+0.28%)	⬆️
GANDLF/cli/main_run.py	93.02% <100.00%> (+9.34%)	⬆️
GANDLF/compute/generic.py	94.28% <100.00%> (+0.34%)	⬆️
GANDLF/compute/inference_loop.py	92.94% <100.00%> (+0.69%)	⬆️
GANDLF/utils/tensor.py	87.62% <100.00%> (+0.57%)	⬆️
GANDLF/utils/write_parse.py	96.66% <100.00%> (+0.07%)	⬆️

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