Add LossDynamicsAnalyzer for noisy label detection

[vinnamkim]

Summary

• Ticket no. 103075
• Added LossDynamicsAnalyzer for noisy label detection.
• Added Jupyter notebook example for this feature.
• Added ImagenetWithSubsetDirsExporter to support this feature.

How to test

I added some 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 the description of my changes into CHANGELOG.​
• I have updated the documentation accordingly

License

• I submit my code changes under the same MIT 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: MIT

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[codecov-commenter]

Codecov Report

Patch coverage: 90.35% and project coverage change: +0.04 🎉

Comparison is base (bddf3cb) 78.73% compared to head (8f5b996) 78.78%.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop     #928      +/-   ##
===========================================
+ Coverage    78.73%   78.78%   +0.04%     
===========================================
  Files          215      218       +3     
  Lines        25478    25575      +97     
  Branches      5085     5100      +15     
===========================================
+ Hits         20061    20148      +87     
- Misses        4255     4262       +7     
- Partials      1162     1165       +3     

Flag	Coverage Δ
macos-11_Python-3.8	77.78% <90.35%> (+0.04%)	⬆️
ubuntu-20.04_Python-3.8	78.76% <90.35%> (+0.04%)	⬆️
windows-2019_Python-3.8	78.71% <90.26%> (+0.04%)	⬆️

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

Impacted Files	Coverage Δ
...ms/noisy_label_detection/loss_dynamics_analyzer.py	88.50% <88.50%> (ø)
datumaro/plugins/data_formats/imagenet.py	91.76% <92.30%> (+0.51%)	⬆️
datumaro/__init__.py	100.00% <100.00%> (ø)
datumaro/components/algorithms/__init__.py	100.00% <100.00%> (ø)
...nents/algorithms/noisy_label_detection/__init__.py	100.00% <100.00%> (ø)
datumaro/components/algorithms/rise.py	88.73% <100.00%> (+0.07%)	⬆️
datumaro/components/format_detection.py	93.58% <100.00%> (ø)

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.