naive_fit_impl

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 

naive_fit_impl function

<dl><dt>x</dt>
<dd>A dataframe of xreg (exogenous regressors)</dd>
<dt>y</dt>
<dd>A numeric vector of values to fit</dd>
<dt>id</dt>
<dd>An optional ID feature to identify different time series. Should be a quoted name.</dd>
<dt>seasonal_period</dt>
<dd>Not used for NAIVE forecast but here for consistency with SNAIVE</dd>
<dt>...</dt>
<dd>Not currently used</dd></dl>

Arguments

Low-Level NAIVE Forecast — naive_fit_impl

<dl>

<dt>x</dt>
<dd>A dataframe of xreg (exogenous regressors)</dd>


<dt>y</dt>
<dd>A numeric vector of values to fit</dd>


<dt>id</dt>
<dd>An optional ID feature to identify different time series. Should be a quoted name.</dd>


<dt>seasonal_period</dt>
<dd>Not used for NAIVE forecast but here for consistency with SNAIVE</dd>


<dt>...</dt>
<dd>Not currently used</dd>

</dl>

naive_fit_impl: Low-Level NAIVE Forecast

Description

Usage

Arguments