Sometimes I design machine learning pipelines that look something like this:
Normally I have to hack these "split" pipelines together using my own "Combine Features" function. However, it'd be great if I could fit this into a sklearn Pipeline object. How would I go about doing that? (Pseudo-code is fine.)
