yahoo_data

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

yahoo_data function

<dl><dt>...</dt>
<dd>Additional arguments passed to <code>download.file</code>
Downloads and returns aggregated and anonymized datasets from Yahoo representing server metrics of Yahoo services.</dd></dl>

Arguments

Rob Hyndman, Earo Wang, Nikolay Laptev, Mitchell O'Hara-Wild

Author

Yahoo server metrics — yahoo_data

<dl>

<dt>...</dt>
<dd>Additional arguments passed to <code>download.file</code>
Downloads and returns aggregated and anonymized datasets from Yahoo representing server metrics of Yahoo services.</dd>

</dl>

Yahoo server metrics

yahoo_data: Yahoo server metrics

Description

Usage

Value

Arguments

Author

References

Examples