Minoro/pgpyml
An in-database machine learning solution to run python models in Postgres
This tool helps data professionals integrate Python-based machine learning models directly into a PostgreSQL database. You provide your trained scikit-learn model and your data stored in Postgres tables, and the tool outputs predictions or classifications directly within your database. Data scientists and full-stack developers can use this to deploy ML models for real-time data processing.
No commits in the last 6 months.
Use this if you need to apply Python machine learning models to data already residing in your PostgreSQL database, either for real-time predictions on new data or batch processing existing records.
Not ideal if your models are not developed with scikit-learn or if you require a production-ready solution with robust error handling and scaling.
Stars
18
Forks
1
Language
PLpgSQL
License
—
Category
Last pushed
Jul 19, 2022
Commits (30d)
0
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