Intro and Request for Feedback!

[maxcan7]

While this is still very much a work in progress, I've decided to make this project public!

It is a framework for Data Science and Machine Learning projects built on top of scikit-learns Pipelines.

Models can be parameterized via yaml configs, and the maxML module will parse and validate the configs into executable code through a single pipeline script.

This allows horizontally scalable creation and testing of models.

There is a lot more work to do for this, right now it's features are pretty limited, but I just want to see if it makes sense, if people see the value in this and there's interest in it.

Would certainly appreciate any engineers who want to contribute, but I'd also really like to get feedback from data scientists on how they feel about this and whether or not they would use this if it were more fully featured.

Thanks!