filter_duplicates

Remove duplicate features that exist in multiple feature sets and retain a reproducible random selection of one of them

Provides a suite of functions for analysing, interpreting, and visualising
time-series features calculated from different feature sets from the 'theft' package.
Implements statistical learning methodologies described in Henderson, T.,
Bryant, A., and Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.

Trent Henderson

theftdlc

Analyse and Interpret Time Series Features

filter_duplicates function

<dl><dt>data</dt>
<dd><code>feature_calculations</code> object containing the raw feature matrix produced by <code>calculate_features</code></dd>
<dt>preference</dt>
<dd>deprecated. Do not use</dd>
<dt>seed</dt>
<dd><code>integer</code> denoting a fix for R's pseudo-random number generator to ensure selections are reproducible. Defaults to <code>123</code></dd></dl>

Arguments

Author

Remove duplicate features that exist in multiple feature sets and retain a reproducible random selection of one of them — filter_duplicates

<dl>

<dt>data</dt>
<dd><code>feature_calculations</code> object containing the raw feature matrix produced by <code>calculate_features</code></dd>


<dt>preference</dt>
<dd>deprecated. Do not use</dd>


<dt>seed</dt>
<dd><code>integer</code> denoting a fix for R's pseudo-random number generator to ensure selections are reproducible. Defaults to <code>123</code></dd>

</dl>

filter_duplicates: Remove duplicate features that exist in multiple feature sets and retain a reproducible random selection of one of them

Description

Usage

Value

Arguments

Author