Is there a way to use variables with a Python forecast model like ARIMA or Random Forest?
I have a linear regression working, and I'm able to extract the coefficients, create variables, and use a Beast Mode calculation to generate a forecast. However, I'm unsure if this can be done with models that aren’t linear.
Ideally, I'd like the user to input their exogenous/explanatory variables and see a forecast at the dashboard level. Has anyone done something similar?