Auxiliary function used to calculate the Value Difference Metric (VDM) between two instances considering their non numeric attributes

Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets.

Miguel Ángel Dávila

mldr.resampling

Resampling Algorithms for Multi-Label Datasets

Francisco Charte

María José Del Jesus

Antonio Rivera

vdm function

<dl><dt>D</dt>
<dd>mld <code>mldr</code> object with the multilabel dataset to preprocess</dd>
<dt>sample</dt>
<dd>Index of the first sample</dd>
<dt>y</dt>
<dd>Index of the second sample</dd>
<dt>label</dt>
<dd>Label that will be considered in calculations</dd>
<dt>tableVDM</dt>
<dd>Dataframe object containing previous calculations for faster processing. If it is empty, the algorithm will be slower</dd></dl>

Arguments

Auxiliary function used to calculate the Value Difference Metric (VDM) between two instances considering their non numeric attributes — vdm

<dl>

<dt>D</dt>
<dd>mld <code>mldr</code> object with the multilabel dataset to preprocess</dd>


<dt>sample</dt>
<dd>Index of the first sample</dd>


<dt>y</dt>
<dd>Index of the second sample</dd>


<dt>label</dt>
<dd>Label that will be considered in calculations</dd>


<dt>tableVDM</dt>
<dd>Dataframe object containing previous calculations for faster processing. If it is empty, the algorithm will be slower</dd>

</dl>

vdm: Auxiliary function used to calculate the Value Difference Metric (VDM) between two instances considering their non numeric attributes

Description

Usage

Value

Arguments