Robpy is a Python module for robust statistical methods built on top of scikit-learn and SciPy.
The project was started in 2023 by Tim Verdonck, Jakob Raymaekers, Thomas Servotte, Sarah Leyder & Thomas Decorte at the University of Antwerp and imec IDLab. The project is currently maintained by the same team and distributed under MIT license.
Documentation is available at https://robpy.readthedocs.io/en/latest/
The structure and inner workings of the package are described in Leyder, S., Raymaekers, J., Rousseeuw, P. J., Servotte, T., & Verdonck, T. (2024). RobPy: a Python Package for Robust Statistical Methods. arXiv preprint arXiv:2411.01954.
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Release files for robpy 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| robpy-0.0.6.tar.gz | 298.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| robpy-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 621.7 kB
Release files / robpy-0.0.6.tar.gz
| Download URL | robpy-0.0.6.tar.gz |
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| Size | 298.4 kB |
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Release files / robpy-0.0.6-py3-none-any.whl
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| Tags | Python 3 |
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