is_modeltime_model

This function returns <code>TRUE</code> for trained workflows and parsnip objects
that contain modeltime 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 

is_modeltime_model function

<dl><dt>object</dt>
<dd>An object to detect if contains a fitted modeltime model</dd></dl>

Arguments

Test if object contains a fitted modeltime model — is_modeltime_model

<dl>

<dt>object</dt>
<dd>An object to detect if contains a fitted modeltime model</dd>

</dl>

is_modeltime_model: Test if object contains a fitted modeltime model

Description

Usage

Arguments