Use the 'GluonTS' deep learning library inside of 'modeltime'.
Available models include 'DeepAR', 'N-BEATS', and 'N-BEATS' Ensemble.
Refer to "GluonTS - Probabilistic Time Series Modeling"
(<https://ts.gluon.ai/index.html>).

'GluonTS' Deep Learning

package-ubuntu-20.04-r-4.0.5#cran#modeltime.gluonts-0.1.0

<p>Bridge prediction Function for DeepAR Models
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>An object of class <code>model_fit</code></p>
</td>
</tr>
<tr valign="top">
<td><code>new_data</code></td>
<td>
<p>A rectangular data object, such as a data frame.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#modeltime.gluonts-0.1.0#docs#deepar_predict_impl

`object`	An object of class `model_fit`
`new_data`	A rectangular data object, such as a data frame.

deepar_predict_impl

Description

Usage

Arguments

modeltime.gluonts

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