mdl_time_refit

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.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).

Matt Dancho

modeltime

The Tidymodels Extension for Time Series Modeling

Business Science 

mdl_time_refit function

<dl><dt>object</dt>
<dd>A Modeltime Table</dd>
<dt>data</dt>
<dd>A <code>tibble</code> that contains data to retrain the model(s) using.</dd>
<dt>...</dt>
<dd>Additional arguments to control refitting.
Ensemble Model Spec (<code>modeltime.ensemble</code>):
When making a meta-learner with <code>modeltime.ensemble::ensemble_model_spec()</code>,
used to pass <code>resamples</code> argument containing results
from <code>modeltime.resample::modeltime_fit_resamples()</code>.</dd>
<dt>control</dt>
<dd>Used to control verbosity and parallel processing.
See <code>control_refit()</code>.</dd></dl>

Arguments

Modeltime Refit Helpers — mdl_time_refit

<dl>

<dt>object</dt>
<dd>A Modeltime Table</dd>


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


<dt>...</dt>
<dd>Additional arguments to control refitting.
Ensemble Model Spec (<code>modeltime.ensemble</code>):
When making a meta-learner with <code>modeltime.ensemble::ensemble_model_spec()</code>,
used to pass <code>resamples</code> argument containing results
from <code>modeltime.resample::modeltime_fit_resamples()</code>.</dd>


<dt>control</dt>
<dd>Used to control verbosity and parallel processing.
See <code>control_refit()</code>.</dd>

</dl>

mdl_time_refit: Modeltime Refit Helpers

Description

Usage

Value

Arguments