sample_model

seasonal.features

Int sampling iteration to use parameters from.

iteration

Indicator vector for additive components

Indicator vector for multiplicative components

Simulate observations from the extrapolated generative model.

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.

sample_model: Simulate observations from the extrapolated generative model.

Description

Usage

Arguments

Value