Comments (2)
Hello @andrewsx it's hard to suggest parameter ranges without seeing the data. A general guideline for seasonality is that you can decide by observing the time series whether there is every type of seasonality in the data. For example, yearly around 10-15 would be good in general, for weekly it's 3-5. The greater the number, the more flexible the seasonality is. For changepoints, I would recommend you look at the Changepoints section in the documentation to tune the parameters. For fitting algorithms, you can also try "ridge" in additional to "linear". You can start with these parameters and ignore "override".
Kaixu
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Close this issue as this thread has been inactive for many days.
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Related Issues (20)
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