12-02, 16:30–17:00 (UTC), Talk Track II
Production workflows in machine learning has it's own requirements compared to DevOps. In this talk, I will present a new library we are developing called "skops" that's built to improve production workflows for scikit-learn models.
Taking scikit-learn models to production or hosting them openly has it's own challenges, like reproducibility, safety and more. We are trying to tackle these problems with our new open-source library skops. skops provides easy APIs to host your models, automatically create widgets for inference and create model cards that documents the model for versioning. In this talk, I will walk you through how you can use skops for versioning models.
Previous knowledge expected
Merve Noyan is a data scientist and a natural language processing researcher. She is working as developer advocacy engineer at Hugging Face and she's a Google Developer Expert in machine learning.