Hi Nixtla team, I am planning to deep dive into li...
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Valeriy
10/06/2022, 3:43 PMHi Nixtla team, I am planning to deep dive into library what top 3-5 most performant models you would recommend me to look into @Max (Nixtla) @fede @Kin Gtz. Olivares
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Max (Nixtla)
10/06/2022, 3:46 PMHi Valeriy, hope everything is good :)
You mean NeuralForecast or StatsForecast or in general?
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Valeriy
10/06/2022, 3:51 PM3-5 across the whole of Nixtla maybe at least 1-2 from neural and stats each. Most performant ones in terms of Nixtla team experience.
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Max (Nixtla)
10/07/2022, 11:32 AMSure!
From stats:
• auto ETS
• auto Arima
• CES (complex exponential smoothing)
neural:
• NHITS
• NBEATS
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Max (Nixtla)
10/07/2022, 2:02 PMHappy to help if something comes up 🙂
Max (Nixtla)
10/08/2022, 3:00 PMBTW, @Valeriy, you might also be interested in playing around with GitHub.com/nixtla/mlforecast
Max (Nixtla)
10/08/2022, 3:00 PMYour feedback would be very appreciated
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Valeriy
10/11/2022, 9:24 AMThanks, @Max (Nixtla), on it, might take some time as quite busy but will reach out. I have something in mind on how to test them all on large-scale data.
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Max (Nixtla)
10/11/2022, 2:35 PMThat’s amazing, we are particularly interested in scalability and efficiency, so happy to help.
We have some good experiences with Ray Clusters and Databricks Clusters