Releases: aloncrack7/MLOps-ResearchProject-TFM
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🚀 MLOps-ResearchProject-TFM Release Notes
Summary
This release includes significant enhancements, new features, and important fixes across the MLOps-ResearchProject-TFM platform. Below is a summary of notable changes from recent commits, highlighting new functionality, improvements, and bug fixes.
✨ New Features & Improvements
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Comprehensive Documentation Overhaul
- Enhanced main README and added detailed documentation for MLflow tracking, model deployment, Nginx gateway, PostgreSQL, logging, and usage examples.
- Improved folder structure explanations and added troubleshooting/contribution guides.
- Commit: 00266f7
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New ML Training Scripts
- Added Random Forest training scripts for wine quality prediction on multiple datasets.
- Integrated MLflow experiment tracking and dataset validation.
- Commit: e6aa8e4
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Model Monitoring & Reporting
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Deployment & Infrastructure
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Data & Integration
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Automation & Notifications
🐞 Bug Fixes
- Fixed model deployment requirements and correct waiting logic.
- Fixed model redeploy after server restart.
- Improved monitor creation logic and database stability.
- Fixed environment variable assignments and .env handling.
- Commits: 34509b5, 36bb07d, 9425bbc, e221f84, a38c60b, e2f715c
🔗 Useful Links
Note: This summary is based on the most recent commits. For the complete commit history, visit the full log.
Thank you for your contributions and for using MLOps-ResearchProject-TFM! 🚀
Release name extracted from https://ubuntu-name-generator.crespo.com.br/generator/Viral/Viper/28.04.