santiviquez/ageml
Study the temporal performance degradation of machine learning models.
This tool helps machine learning engineers and data scientists understand how their predictive models perform over time. You provide your historical dataset with a timestamp and your trained model, and it generates plots and metrics showing how the model's performance degrades as it ages due to shifts in data patterns.
No commits in the last 6 months.
Use this if you need to assess the longevity and stability of your machine learning models in a production environment and identify when they might need retraining.
Not ideal if you are looking for a fully mature, production-ready solution with a stable API, as this project is still in early development.
Stars
16
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 26, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/santiviquez/ageml"
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