Hi Ankit,
Thanks for your reply here, i am looking for moderate complexity for forecast model.
Anything which gives me as accurate a result as possible, the thing is we can't afford too much of a run time for model to run with process chain. We are already using parallel processing for process chain run.
Few other point, if you can help me on those as well.
- We are already running process chain and statistical forecasting with multiple models. Currently the run is daily, please let me know if the daily run is really suggested.
- At times we get messages like "not enough data available" for specific model - any way to avoid this.
- How to optimally use parallel processing profiles forecasting process in process chain.
- Things which should be avoided while selecting forecast model.
Rgds
NB.
