I am trying to predict a time series in python statsmodels ARIMA package with the inclusion of an exogenous variable, but cannot figure out the correct way to insert the exogeno
This is probably better posted on the github issue tracker. I filed a ticket though.
It's best to file a ticket there, if not I might forget it. Quite busy these days.
There was a bug in the logic for the special case of k_ar == 0. Should be fixed. Let me know if you can/cannot give that patch a spin. If not, I can do some more rigorous testing and merge it.
Statsmodels on top of spark? I'm intrigued.