Metadata-Version: 2.4
Name: sklearn_model_debugger
Version: 0.1.0
Summary: An automated diagnostic engine that audits scikit-learn models for silent failures.
Author-email: Tanishk Agrawal <tanishk.20233289@mnnit.ac.in>
License: MIT
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.3.0
Requires-Dist: numpy>=1.20.0
Requires-Dist: scikit-learn>=1.0.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: jupyter>=1.0.0; extra == "dev"
Dynamic: license-file

# model-debugger
"Diagnose silent ML failures: A lightweight Python package for automated model auditing and reporting."
