Metadata-Version: 2.1
Name: robust-selection
Version: 0.0.8
Summary: Distributionally Robust Formulation and Model Selection for the Graphical Lasso
Home-page: https://github.com/dddlab/robust-selection
Author: Chau Tran
Author-email: chautran@ucsb.edu
License: UNKNOWN
Description: Robust Selection
        ================
        
        [![PyPI version](https://badge.fury.io/py/robust-selection.svg)](https://badge.fury.io/py/robust-selection) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dddlab/robust-selection/main?filepath=examples%2Frobsel_cv_example.ipynb)
        
        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](http://proceedings.mlr.press/v108/cisneros20a.html)][[Papers with Code](https://paperswithcode.com/paper/distributionally-robust-formulation-and-model)]
        
        ![CV vs. RobSel](https://github.com/dddlab/robust-selection/raw/main/examples/cv-vs-robsel.png)
        
        ## 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
        
        ```bash
        pip install robust-selection
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
