wan-huiyan/ml-training-window-assessor

Drift-aware training window extension assessment for production ML pipelines. Claude Code skill.

/ 100

Experimental

No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 9 / 25

Community 0 / 25

Stars

—

Forks

—

Language

—

License

MIT

Category

Last pushed

Mar 20, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wan-huiyan/ml-training-window-assessor"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

online-ml/river

🌊 Online machine learning in Python

IFCA-Advanced-Computing/frouros

Frouros: an open-source Python library for drift detection in machine learning systems.

NannyML/nannyml

nannyml: post-deployment data science in python

mitre/menelaus

Online and batch-based concept and data drift detection algorithms to monitor and maintain ML...

Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch...