Metadata-Version: 2.1
Name: thetiscore
Version: 0.2.2
Summary: Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.
Author: e:fs TechHub GmbH
Author-email: fabian.kueppers@efs-techhub.com
Maintainer: e:fs TechHub GmbH
Maintainer-email: fabian.kueppers@efs-techhub.com
License: Proprietary
Project-URL: Homepage, https://thetis.de
Project-URL: Webapp, https://app.thetis.de
Project-URL: GitHub, https://github.com/EFS-OpenSource/Thetis
Project-URL: Documentation, https://efs-opensource.github.io/Thetis
Keywords: ai,safety,security,fairness,robustness,calibration,uncertainty,neural,network,machine,learning,confidence,classification,object,detection,regression,thetis
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md
License-File: NOTICE.txt
Requires-Dist: fairlearn >=0.8.0
Requires-Dist: pandas >=1.5.3
Requires-Dist: pyyaml >=6.0
Requires-Dist: numpy >=1.23.5
Requires-Dist: matplotlib >=3.6.3
Requires-Dist: jinja2 >=3.1.2
Requires-Dist: rst2pdf >=0.100
Requires-Dist: strictyaml >=1.7.3
Requires-Dist: uharfbuzz >=0.33.0
Requires-Dist: pycryptodome >=3.17

Core Library for Thetis AI Evaluation Service. For more details, see https://github.com/EFS-OpenSource/Thetis.
