regressor_column_matrix

Constructed seasonal features dataframe.

seasonal.features

List with keys 'additive' and 'multiplicative' with arrays of
component names for each mode of seasonality.

modes

Includes combination components, like 'additive_terms'. These combination
components will be added to the 'modes' input.

internal

Implements 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.
Prophet is robust to missing data and shifts in the trend, and typically
handles outliers well.

regressor_column_matrix: Dataframe indicating which columns of the feature matrix correspond to which seasonality/regressor components.

Description

Usage

Arguments

Value