[P] A semi-automated machine learning pipeline
This is a project that I have been working on to automate testing my experiments in data science projects. It also involves some automated experiments. However, there is still a lot of work to be done. I will be writing unit tests and making some parts simpler. It can work with tensorflow and lgbm, but some work needs to be done before that.
Would you consider using such tools in your projects? What features should I add? Any advice is greatly appreciated.