Non-stationarity refers to the evolving character of the data distribution as time passes. Much more specifically, it may be characterised to be a violation of your Rigid-Sense Stationarity affliction, defined by the subsequent equation:
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We produce a time series with hourly https://mstl.org/ frequency that features a every day and weekly seasonality which adhere to a sine wave. We exhibit a far more real planet illustration later from the notebook.
windows - The lengths of every seasonal smoother with respect to each time period. If they're large then the seasonal part will show considerably less variability as time passes. Need to be odd. If None a list of default values determined by experiments in the original paper [1] are applied.