mdl_time_refit

object

A <code>tibble</code> that contains data to retrain the model(s) using.

data

Additional arguments passed to <code><a rd-options="=fit" href="/link/fit()?package=modeltime&version=0.1.0&to=%3Dfit" data-mini-rdoc="=fit::fit()">fit()</a></code>.

Either <code><a rd-options="=control_parsnip" href="/link/control_parsnip()?package=modeltime&version=0.1.0&to=%3Dcontrol_parsnip" data-mini-rdoc="=control_parsnip::control_parsnip()">control_parsnip()</a></code> or <code><a rd-options="=control_workflow" href="/link/control_workflow()?package=modeltime&version=0.1.0&to=%3Dcontrol_workflow" data-mini-rdoc="=control_workflow::control_workflow()">control_workflow()</a></code> depending on the object.
If NULL, created automatically.

control

Used for low-level refitting 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/>.).

Matt Dancho

modeltime

The Tidymodels Extension for Time Series Modeling

Business Science 

mdl_time_refit function

Additional arguments passed to <code><a rd-options='=fit' href='fit()'>fit()</a></code>.

Either <code><a rd-options='=control_parsnip' href='control_parsnip()'>control_parsnip()</a></code> or <code><a rd-options='=control_workflow' href='control_workflow()'>control_workflow()</a></code> depending on the object.
If NULL, created automatically.

mdl_time_refit: Modeltime Refit Helpers

Description

Usage

Arguments

Value