maape_vec

This is basically a wrapper to the function of <code>TSrepr::maape()</code>.

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 

maape_vec function

<dl><dt>truth</dt>
<dd>The column identifier for the true results (that is numeric).</dd>
<dt>estimate</dt>
<dd>The column identifier for the predicted results (that is also numeric).</dd>
<dt>na_rm</dt>
<dd>Not in use... <code>NA</code> values managed by <code>TSrepr::maape()</code></dd>
<dt>...</dt>
<dd>Not currently in use</dd></dl>

Arguments

Mean Arctangent Absolute Percentage Error — maape_vec

<dl>

<dt>truth</dt>
<dd>The column identifier for the true results (that is numeric).</dd>


<dt>estimate</dt>
<dd>The column identifier for the predicted results (that is also numeric).</dd>


<dt>na_rm</dt>
<dd>Not in use... <code>NA</code> values managed by <code>TSrepr::maape()</code></dd>


<dt>...</dt>
<dd>Not currently in use</dd>

</dl>

maape_vec: Mean Arctangent Absolute Percentage Error

Description

Usage

Arguments