xgboost_predict

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 

xgboost_predict function

<dl><dt>object</dt>
<dd>a model object for which prediction is desired.</dd>
<dt>newdata</dt>
<dd>New data to be predicted</dd>
<dt>...</dt>
<dd>additional arguments affecting the predictions produced.</dd></dl>

Arguments

Wrapper for xgboost::predict — xgboost_predict

<dl>

<dt>object</dt>
<dd>a model object for which prediction is desired.</dd>


<dt>newdata</dt>
<dd>New data to be predicted</dd>


<dt>...</dt>
<dd>additional arguments affecting the predictions produced.</dd>

</dl>

xgboost_predict: Wrapper for xgboost::predict

Description

Usage

Arguments