https://github.com/aajanki/label-noise-classification

A small experiment on classification with noisy labels
https://github.com/aajanki/label-noise-classification

classification jupyter-notebook label-noise noisy-labels

Last synced: 10 days ago
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A small experiment on classification with noisy labels

• Host: GitHub
• URL: https://github.com/aajanki/label-noise-classification
• Owner: aajanki
• License: mit
• Created: 2020-01-05T08:30:31.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-08-23T18:05:29.000Z (over 2 years ago)
• Last Synced: 2024-11-10T18:08:12.493Z (2 months ago)
• Topics: classification, jupyter-notebook, label-noise, noisy-labels
• Language: Jupyter Notebook
• Size: 458 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Label-noise robust logistic regression

A PyStan implementation of a robust logistic regression estimation.

See [the notebook](Label%20noise%20robust%20classification.ipynb).

## Dev environment setup

Install [Stan dependencies](https://pystan.readthedocs.io/en/latest/getting_started.html).

```

pipenv install

pipenv run jupyter notebook

```

## References

Jakramate Bootkrajang and Ata Kabán: [Label-Noise Robust Logistic Regression and Its Applications](https://www.cs.bham.ac.uk/~axk/ecml2012.pdf), The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012)

## License

The MIT License