Add training loss dynamics exportation feature for multi-class classification task

[vinnamkim]

Summary

• Ticket no. 103075
• Add training loss dynamics exportation feature for multi-class classification task.
• Documentation and example for this feature will be added soon.

How to test

I added tests for this change.

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have added e2e tests for validation.
• I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
• I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
• I have linked related issues.

License

• I submit my code changes under the same Apache License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below).

# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[codecov-commenter]

Codecov Report

Patch coverage: 81.96% and project coverage change: +0.09 🎉

Comparison is base (0e045d2) 74.90% compared to head (4024877) 75.00%.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #1985      +/-   ##
===========================================
+ Coverage    74.90%   75.00%   +0.09%     
===========================================
  Files          460      462       +2     
  Lines        34585    34742     +157     
===========================================
+ Hits         25907    26057     +150     
- Misses        8678     8685       +7     

Flag	Coverage Δ
py310	74.98% <81.96%> (+0.09%)	⬆️
py38	74.98% <81.96%> (+0.09%)	⬆️
py39	74.99% <81.96%> (+0.09%)	⬆️

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

Impacted Files	Coverage Δ
...lassification/adapters/mmcls/utils/config_utils.py	50.00% <0.00%> (ø)
...x/algorithms/classification/adapters/mmcls/task.py	14.66% <33.33%> (+0.16%)	⬆️
...isy_label_detection/loss_dynamics_tracking_hook.py	51.16% <51.16%> (ø)
...sification/adapters/mmcls/models/losses/ib_loss.py	73.80% <75.00%> (+38.80%)	⬆️
otx/api/entities/dataset_item.py	97.48% <85.00%> (-1.41%)	⬇️
otx/core/data/noisy_label_detection/base.py	90.47% <90.47%> (ø)
...ication/adapters/mmcls/models/classifiers/mixin.py	96.72% <96.72%> (ø)
...sification/adapters/mmcls/datasets/otx_datasets.py	77.45% <100.00%> (+0.58%)	⬆️
...dapters/mmcls/models/classifiers/sam_classifier.py	82.92% <100.00%> (+0.97%)	⬆️
...ithms/classification/configs/base/configuration.py	100.00% <100.00%> (ø)
... and 4 more

... and 3 files with indirect coverage changes

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

☔ View full report in Codecov by Sentry.
📢 Do you have feedback about the report comment? Let us know in this issue.

[goodsong81]

Generally looks OK to me, but I have some concern about Geti compatibility.
sc_sdk in Geti is heavily depending on otx.api (aka ote_sdk) so that we need to be careful when changing definitions in entities. Could you verify if it's all OK? You may get review from IAI team, too.

[goodsong81]

There was some changes in CI settings. Could you rebase?

[vinnamkim]

There was some changes in CI settings. Could you rebase?

Merged the latest develop

[goodsong81]

LGTM!

[goodsong81]

@vinnamkim Please update the change log in the next PR for documentation. Thanks!