modeltime_nested_refit

Refits a Nested Modeltime Table to actual data using the following process:<ol>
<li>Models are iteratively refit to .actual_data.</li>
<li>Any model that returns an error is logged.
Errors can be retrieved with <code>extract_nested_error_report()</code></li>
<li>Forecast is predicted on future_data and is logged.
Forecast can be retrieved with <code>extract_nested_future_forecast()</code></li>
</ol>

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 

modeltime_nested_refit function

<dl><dt>object</dt>
<dd>A Nested Modeltime Table</dd>
<dt>control</dt>
<dd>Used to control verbosity and parallel processing. See <code>control_nested_refit()</code>.</dd></dl>

Arguments

Refits a Nested Modeltime Table — modeltime_nested_refit

<dl>

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


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

</dl>

modeltime_nested_refit: Refits a Nested Modeltime Table

Description

Usage

Arguments