Prophet Algorithm
Prophet
How Prophet Works
Prophet is especially useful for datasets that:
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Contain an extended time period (months or years) of detailed historical observations (hourly, daily, or weekly)
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Have multiple strong seasonalities
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Include previously known important, but irregular, events
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Have missing data points or large outliers
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Have non-linear growth trends that are approaching a limit
Prophet is an additive regression model with a piecewise linear or logistic growth curve trend. It includes a yearly seasonal component modeled using Fourier series and a weekly seasonal component modeled using dummy variables.
For more information, see Prophet:
forecasting at scale
Prophet Hyperparameters and Related Time Series
Amazon Forecast uses the default Prophet
hyperparameters