TanML v0.2.0: The Polishing Release
This release focuses on industrial-grade refinements, documentation clarity, and professional presentation.
✨ Key Improvements
- Branding Consistency: Corrected capitalization for
Scikit-learn,Statsmodels, andYData Profilingacross all files. - Refined Terminology: Updated workflow steps to
Data PreprocessingandFeature Power Rankingfor better UI/Docs alignment. - Audit Ready: Removed dashes from
audit readyand clarified report generation descriptions. - Header Revamp: Tightened README header spacing and added a new OS Compatibility Badge.
- Scientific Reproducibility: Added
scripts/generate_demo_data.pywith fixed seeds to ensure consistent validation results.
🛠️ Internal Cleanup
- Removed
tanml_runsclutter and redundant scripts from the main branch. - Updated all GitHub Workflows to use Trusted Publishing and fixed dynamic version detection for documentation.
- Cleared legacy Node.js deprecation warnings in CI/CD pipelines.