predict_seasonal_components


Seasonality broken down into components


Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly and weekly
seasonality, plus holidays.  It works best with daily periodicity data with
at least one year of historical data.  Prophet is robust to missing data,
shifts in the trend, and large outliers.

predict_seasonal_components: Seasonality broken down into components

Description

Usage

Arguments