mdl_time_forecast

object

Data that has been calibrated from a testing set

calibration_data

A <code>tibble</code> containing future information to forecast.
If <code>NULL</code>, forecasts the calibration data.

new_data

The forecast horizon (can be used instead of <code>new_data</code> for
time series with no exogenous regressors).
Extends the calibration data <code>h</code> periods into the future.

Reference data that is combined with the output tibble and given a <code>.key = "actual"</code>

actual_data

Logical. Whether or not to skip rowwise binding of `actual_data``

bind_actual

Used for low-level forecasting of modeltime, parnsip and workflow models.
These functions are not intended for user use.

internal

The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).

mdl_time_forecast: Modeltime Forecast Helpers

Description

Usage

Arguments

Value