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Non-stationarity refers back to the evolving nature of the info distribution with time. A lot more exactly, it may be characterised as a violation on the Stringent-Feeling Stationarity condition, defined by the next equation:A solitary linear layer is sufficiently robust to model and forecast time series data presented it's been correctly decompose