Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data.
Read moreIs Prophet a linear model?
Forecasting Growth By default, Prophet uses a linear model for its forecast . When forecasting growth, there is usually some maximum achievable point: total market size, total population size, etc. This is called the carrying capacity, and the forecast should saturate at this point.
Read moreWhat algorithm does Facebook Prophet use?
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 .
Read moreWhat is Facebook Prophet used for?
Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting . We’ve found it to perform better than any other approach in the majority of cases. We fit models in Stan so that you get forecasts in just a few seconds.
Read moreHow does Facebook Prophet model work?
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.
Read moreIs Facebook Prophet a neural network?
As you can deduce from the name of the library, it’s pretty much good old Prophet on steroids, which in this particular case are Neural Networks .
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