maape_vec

Wrapper around <code>TSrepr::maape()</code> with yardstick-compatible interface.

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>Numeric vector of ground-truth values.</dd>
<dt>estimate</dt>
<dd>Numeric vector of predicted values.</dd>
<dt>na_rm</dt>
<dd>Logical, whether to remove missing values before computation.</dd>
<dt>case_weights</dt>
<dd>Optional numeric vector of non-negative case weights (not used by <code>maape_vec</code>).</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd></dl>

Arguments

Mean Arctangent Absolute Percentage Error — maape_vec

<dl>

<dt>truth</dt>
<dd>Numeric vector of ground-truth values.</dd>


<dt>estimate</dt>
<dd>Numeric vector of predicted values.</dd>


<dt>na_rm</dt>
<dd>Logical, whether to remove missing values before computation.</dd>


<dt>case_weights</dt>
<dd>Optional numeric vector of non-negative case weights (not used by <code>maape_vec</code>).</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>

</dl>

maape_vec: Mean Arctangent Absolute Percentage Error

Description

Usage

Value

Arguments