Robust Selection
Python Package by C Tran, P Cisneros-Velarde, A Petersen and S-Y Oh
This repository provides a Python package for Robust Selection algorithm for estimation of the graphical lasso regularization parameter.
P Cisneros-Velarde, A Petersen and S-Y Oh (2020). Distributionally Robust Formulation and Model Selection for the Graphical Lasso. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. [PMLR][Papers with Code]
Dependencies
The code contained in this repository was tested on the following configuration of Python:
- python=3.7.4
- robust-selection=0.0.7
- numpy=1.17.4
- scipy=1.3.1
- scikit-learn=0.22.1
- networkx=2.4
- pandas=0.25.3
Installation
pip install robust-selection
Release files for robust-selection 0.0.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| robust-selection-0.0.8.tar.gz | 2.8 kB | Without provenance | Details for robust-selection-0.0.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| robust_selection-0.0.8-py3-none-any.whl | Python 3 | none | any | Details for robust_selection-0.0.8-py3-none-any.whl |
Total release size: 6.7 kB
Release files / robust-selection-0.0.8.tar.gz
| Download URL | robust-selection-0.0.8.tar.gz |
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| Size | 2.8 kB |
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Release files / robust_selection-0.0.8-py3-none-any.whl
| Download URL | robust_selection-0.0.8-py3-none-any.whl |
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| Size | 3.9 kB |
| Tags | Python 3 |
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Security for robust-selection 0.0.8
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