I would like to generate a regression based on 6 different inputs and 4 output.
I use python and I compare sklearn and scipy. But in both cases, regression models are essentially focused on 1 output parameter.
My question is : can I considerer that all of my outputs are unlinked, and if yes, is it true to imagine that I can perform 4 regressions in parallel (one for each output) to make an equivalent 4 ouput model ?
Tank you for your tips !