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Hi I am using Nixtla packages and pretty like the framework. Regarding the losses, I'd like to propose to add 2 additional metrics especially relevant for demand forecasting, the Cumulative Forecast Error and the (scaled) Periods in Stocks.
Theses metrics come from the classic paper:
Wallström, Peter, and Anders Segerstedt. "Evaluation of forecasting error measurements and techniques for intermittent demand." International Journal of Production Economics 128.2 (2010): 625-636. (Click here or here to see the paper.),
which is then also menteiond in another classic paper:
Kourentzes, Nikolaos. "On intermittent demand model optimisation and selection." International Journal of Production Economics 156 (2014): 180-190. (click here for paper link)
Please feel free to let me know your idea. I would also love to create a PR for it.
Use case
No response
The text was updated successfully, but these errors were encountered:
Description
Hi I am using Nixtla packages and pretty like the framework. Regarding the losses, I'd like to propose to add 2 additional metrics especially relevant for demand forecasting, the Cumulative Forecast Error and the (scaled) Periods in Stocks.
Theses metrics come from the classic paper:
Wallström, Peter, and Anders Segerstedt. "Evaluation of forecasting error measurements and techniques for intermittent demand." International Journal of Production Economics 128.2 (2010): 625-636. (Click here or here to see the paper.),
which is then also menteiond in another classic paper:
Kourentzes, Nikolaos. "On intermittent demand model optimisation and selection." International Journal of Production Economics 156 (2014): 180-190. (click here for paper link)
Please feel free to let me know your idea. I would also love to create a PR for it.
Use case
No response
The text was updated successfully, but these errors were encountered: