arima_workflow_tuned

<p>These objects are the results of an analysis of the
M750 data set, which came from the M4 Forecast Competition.</p>

datasets


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.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).

Matt Dancho

modeltime

The Tidymodels Extension for Time Series Modeling

Business Science 

arima_workflow_tuned function

<p>An object of class <code>tune_results</code> (inherits from <code>time_series_cv</code>, <code>rset</code>, <code>tbl_df</code>, <code>tbl</code>, <code>data.frame</code>) with 2 rows and 4 columns.</p>

arima_workflow_tuned: Example ARIMA Tuning Results

Description

Usage

Arguments

Value

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Examples