Metadata-Version: 2.1
Name: al360_taiwidgets
Version: 0.0.0
Summary: Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
Home-page: https://github.com/affectlog360/affectlog360
Author: Roman Lutz, Ilya Matiach, Ke Xu
Author-email: al360_taiwidgets-maintain@affectlog.com
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy<=1.26.2,>=1.17.2
Requires-Dist: pandas<2.0.0,>=0.25.1
Requires-Dist: scipy>=1.4.1
Requires-Dist: al360_tai_core_flask>=0.7.6
Requires-Dist: scikit-learn>=0.22.1
Requires-Dist: lightgbm>=2.0.11
Requires-Dist: al360_erroranalysis>=0.5.4
Requires-Dist: fairlearn==0.7.0
Requires-Dist: al360_taiutils>=0.4.2
Requires-Dist: al360_trustworthyai==0.0.0

# al360_taiwidgets
