Regression coefficients do not match conditional means
You can download the following data set from this repo.
You can download the following data set from this repo.
I’d like to choose the best algorithm for future. I found some solutions, but I didn’t understand which R-Squared value is correct.
numpy.average() has a weights option, but numpy.std() does not. Does anyone have suggestions for a workaround?
I am trying to predict weekly sales using ARMA ARIMA models. I could not find a function for tuning the order(p,d,q) in statsmodels. Currently R has a function forecast::auto.arima() which will tune the (p,d,q) parameters.