I am looking for an easy way to turn my local Jupyter notebooks into a deployable model without having to write a lot of code or configuration. Thank you.
I am looking for an easy way to turn my local Jupyter notebooks into a deployable model without having to write a lot of code or configuration. Thank you.
You are entitled to your own opinion, and to write your ML inference code in plain C.
Python != must use a notebook.
Build proper unit tests, env requirements and versioning. You can also manage your code better with an IDE.