raiwidgets

Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install raiwidgets

Releases

Version Released Bullseye
Python 3.9
Bookworm
Python 3.11
Files
0.36.0 2024-07-08    
0.35.1 2024-05-20    
0.35.0 2024-04-18    
0.34.1 2024-02-09    
0.34.0 2024-01-31    
0.33.0 2023-12-28    
0.32.1 2023-12-06    
0.32.0 2023-11-15    
0.31.0 2023-10-17    
0.30.0 2023-08-30  
0.29.0 2023-07-07  
0.28.0 2023-06-10  
0.27.0 2023-04-26  
0.26.0 2023-04-04  
0.25.0 2023-03-02  
0.24.1 2023-01-18  
0.24.0 2023-01-11  
0.23.0 2022-10-25  
0.22.0 2022-09-13  
0.21.0 2022-08-22  
0.20.0 2022-07-25  
0.19.0 2022-06-10    
0.18.2 2022-05-18    
0.18.1 2022-05-10    
0.18.0 2022-04-20    
0.17.0 2022-02-14    
0.16.0 2022-01-05    
0.15.1 2021-12-01    
0.15.0 2021-11-30    
0.14.0 2021-11-11    
0.13.0 2021-10-22    
0.12.1 2021-10-08    
0.12.0 2021-10-06    
0.11.0 2021-09-21    
0.10.0 2021-09-02    
0.9.4 2021-08-18    
0.9.3 2021-08-17    
0.9.2 2021-07-29    
0.9.1 2021-07-23    
0.9.0 2021-07-20    
0.8.0 2021-06-28  
0.7.0 2021-06-23  
0.6.1 2021-06-16  
0.5.0 2021-06-10  
0.4.0 2021-04-21  
0.3.1.post1 2021-03-12  
0.2.2 2021-02-19  
0.2.1 2021-02-16  
0.2.0 2021-01-30  

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Page last updated 2024-07-08 18:18:39 UTC