find_good_features

Helper function to find features in both train and test set that are "good"

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

find_good_features function

<dl><dt>data</dt>
<dd><code>list</code> of <code>"Train"</code> and <code>"Test"</code> data</dd>
<dt>x</dt>
<dd><code>integer</code> denoting the resample index to operate on</dd></dl>

Arguments

Author

Helper function to find features in both train and test set that are "good" — find_good_features

<dl>

<dt>data</dt>
<dd><code>list</code> of <code>"Train"</code> and <code>"Test"</code> data</dd>


<dt>x</dt>
<dd><code>integer</code> denoting the resample index to operate on</dd>

</dl>

find_good_features: Helper function to find features in both train and test set that are "good"

Description

Usage

Value

Arguments

Author