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It would be useful to add the Non-Parametric Time Series forecaster (NPTS) and seasonal NPTS as baseline methods (example : https://docs.aws.amazon.com/forecast/latest/dg/aws-forecast-recipe-npts.html). You can find the paper here (https://arxiv.org/pdf/2312.14657.pdf) and the models are included in GluonTS. NPTS is a strong baseline.
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@jmoralez I was wondering if Nixtla might consider adding NPTS and seasonal NPTS as baseline models ?
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@jmoralez I have a working implementation of DeepNPTS in NeuralForecast already, happy to pick this one up.
@elephaint Thanks you I'll give it a try :)
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Description
It would be useful to add the Non-Parametric Time Series forecaster (NPTS) and seasonal NPTS as baseline methods (example : https://docs.aws.amazon.com/forecast/latest/dg/aws-forecast-recipe-npts.html). You can find the paper here (https://arxiv.org/pdf/2312.14657.pdf) and the models are included in GluonTS. NPTS is a strong baseline.
Use case
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The text was updated successfully, but these errors were encountered: