mdl_time_forecast: Modeltime Forecast Helpers

In modeltime: The Tidymodels Extension for Time Series Modeling

Modeltime Forecast Helpers

Description

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

Usage

mdl_time_forecast(
  object,
  calibration_data,
  new_data = NULL,
  h = NULL,
  actual_data = NULL,
  bind_actual = TRUE,
  keep_data = FALSE,
  arrange_index = FALSE,
  ...
)

Arguments

object	A Modeltime Table
calibration_data	Data that has been calibrated from a testing set
new_data	A tibble containing future information to forecast. If NULL, forecasts the calibration data.
h	The forecast horizon (can be used instead of new_data for time series with no exogenous regressors). Extends the calibration data h periods into the future.
actual_data	Reference data that is combined with the output tibble and given a .key = "actual"
bind_actual	Logical. Whether or not to skip rowwise binding of 'actual_data“
keep_data	Whether or not to keep the new_data and actual_data as extra columns in the results. This can be useful if there is an important feature in the new_data and actual_data needed when forecasting. Default: FALSE.
arrange_index	Whether or not to sort the index in rowwise chronological order (oldest to newest) or to keep the original order of the data. Default: FALSE.
...	Not currently used

Value

A tibble with forecast features

modeltime documentation built on Sept. 2, 2023, 5:06 p.m.