The Prophet algorithm is an additive model , which means that it detects the following trend and seasonality from the data first, then combine them together to get the forecasted values.
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At its core, the Prophet procedure is an additive regression model with four main components: A piecewise linear or logistic growth curve trend . Prophet automatically detects changes in trends by selecting changepoints from the data. A yearly seasonal component modeled using Fourier series.
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