Open alexcombessie opened 4 years ago
That may be a good contribution. Can you follow the examples from here: https://github.com/awslabs/gluon-ts/tree/master/examples/dockerfiles where we have "R Forecast" Package included.
Alternatively, you could also try the auto ARIMA implementation from that very package, if it helps your purpose.
Additional documentation is here: https://gluon-ts.mxnet.io/api/gluonts/gluonts.model.r_forecast.html https://gluon-ts.mxnet.io/api/gluonts/gluonts.model.prophet.html
Hi,
Thanks, I am indeed familiar with R forecast::auto.arima. However, in my case, I am specifically looking for a pure Python alternative. Our customers do not always have Docker and R installed.
Can you confirm that it would be possible to integrate Pyramid-ARIMA to GluonTS without going through Docker?
Thanks,
Alex
Understood, Alex. Yes, you should be able to integrate Pyramid-ARIMA directly (should be in the sense that there are no dependency conflicts or something else that comes up practically). Can you try this locally?
I'll have to find some time for myself or someone from my team @dataiku to try it. I'll let you know if we succeed :)
Hi @timoschowski,
FYI we've implemented a custom auto-arima model for our need: https://github.com/dataiku/dss-plugin-timeseries-forecast/blob/main/python-lib/gluonts_forecasts/custom_models/autoarima.py
Would you be interested in a PR to add it to your repo?
Cheers,
Alex
Description
I want to benchmark GluonTS models with the auto ARIMA model implementation from pyramid-arima in Python.
References