sample_model

seasonal.features

<p>Int sampling iteration to use parameters from.</p>

iteration

<p>Simulate observations from the extrapolated generative model.</p>

internal

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.

sample_model: Simulate observations from the extrapolated generative model.

Description

Usage

Arguments

Value