arima_xgboost_predict_impl

Bridge prediction Function for ARIMA-XGBoost Models

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 

arima_xgboost_predict_impl function

<dl><dt>object</dt>
<dd>An object of class <code>model_fit</code>.</dd>
<dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>predict.xgb.Booster()</code></dd></dl>

Arguments

Bridge prediction Function for ARIMA-XGBoost Models — arima_xgboost_predict_impl

<dl>

<dt>object</dt>
<dd>An object of class <code>model_fit</code>.</dd>


<dt>new_data</dt>
<dd>A rectangular data object, such as a data frame.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>predict.xgb.Booster()</code></dd>

</dl>

arima_xgboost_predict_impl: Bridge prediction Function for ARIMA-XGBoost Models

Description

Usage

Arguments