zero_proportion

Computes proportion of zeros in a time series

Methods for extracting various features from time series data. The features provided are those from Hyndman, Wang and Laptev (2013) <doi:10.1109/ICDMW.2015.104>, Kang, Hyndman and Smith-Miles (2017) <doi:10.1016/j.ijforecast.2016.09.004> and from Fulcher, Little and Jones (2013) <doi:10.1098/rsif.2013.0048>. Features include spectral entropy, autocorrelations, measures of the strength of seasonality and trend, and so on. Users can also define their own feature functions.

Rob Hyndman

tsfeatures

Time Series Feature Extraction

Yanfei Kang

Pablo Montero-Manso

Mitchell O'Hara-Wild

Thiyanga Talagala

Earo Wang

Yangzhuoran Yang

Souhaib Ben Taieb

Cao Hanqing

D K Lake

Nikolay Laptev

J R Moorman

Bohan Zhang

zero_proportion function

<dl><dt>x</dt>
<dd>a univariate time series</dd>
<dt>tol</dt>
<dd>tolerance level. Absolute values below this are considered zeros.</dd></dl>

Arguments

Author

Proportion of zeros — zero_proportion

<dl>

<dt>x</dt>
<dd>a univariate time series</dd>


<dt>tol</dt>
<dd>tolerance level. Absolute values below this are considered zeros.</dd>

</dl>

Proportion of zeros

zero_proportion: Proportion of zeros

Description

Usage

Value

Arguments

Author