flat_growth_init

<p>Data frame with columns ds (date), y_scaled (scaled time series),
and t (scaled time).</p>

<p>Provides a strong initialization for flat growth by setting the
growth to 0 and calculates the offset parameter that pass the 
function through the mean of the the y_scaled values.</p>

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.

Sean Taylor

flat_growth_init: Initialize flat growth.

Description

Usage

Arguments

Value