Closed B81L closed 2 years ago
When you use auto arima engine, the algorithm is "automatic" meaning it decides which arima model parameters to use.
I don't have an easy way to toggle off the automatic update.
But what you can do is request it as a feature.
In the meantime, you could alternatively create a model just using regular arima_boost engine and specify the arima model parameters. See here.
Many Thanks! that has worked for me - I can tweak the arima boost, based on the auto arima and that gives me some good results!
Hi, I am really new to forecasting and modeltime is a really great tool! I just have a question though - When running the training data, and check the accuracy of models, I get the Arima model specs (2,1,1) which seem to be doing a pretty good job on the data, but then when I run the model on the full data in 'updates' to Arima (0,1,1) i use the following code: future_forecast_tbl <- calib_tbl %>% modeltime_refit(data) %>% modeltime_forecast(h = "12 month", actual_data = data)
Is there a way to stop this 'update' and keep the original Arima specs? i look forward to a response. many thanks.