Namespace library packages

[eyadgaran]

Separate libraries into independent namespace packages (e.g. simpleml-sklearn). Isolates dependencies to keep install lightweight and allows a la carte versioning for extras

[eyadgaran]

Library list:

• SimpleML-SQLAlchemy-ORM
• SimpleML-MLFlow
• SimpleML-Scikit-Learn
• SimpleML-Tensorflow
• SimpleML-Dask
• SimpleML-Pandas

For now keep core interfaces and persistence package internal.

[eyadgaran]

[Thought] use common naming and registries to enable third-party extension. Flask has some good examples of ecosystem libraries using standard naming conventions.

Open question - create a virtual namespace package: e.g. simpleml.ecosystem.{library}... that all ecosystem libraries install into or keep them completely isolated with a required active registration (package "does not exist" until first imported).

active registration puts more overhead on users to configure their environments in each shell (or globally in a config) but is less error prone compared to passive behavior and conflicts