smape

<p>the numeric vector of forecasted values</p>

<p>The <code>smape</code> computes sMAPE (Symmetric Mean Absolute Percentage Error) of a forecast.</p>

Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining.
Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.

smape: sMAPE

Description

Usage

Arguments

Value

Examples