setup_dataframe

Data frame with columns ds, y, and cap if logistic growth. Any
specified additional regressors must also be present.

Boolean set scaling factors in m from df.

initialize_scales

Adds a time index and scales y. Creates auxillary columns 't', 't_ix',
'y_scaled', and 'cap_scaled'. These columns are used during both fitting
and predicting.

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.

setup_dataframe: Prepare dataframe for fitting or predicting.

Description

Usage

Arguments

Value