similarity_params

internal

Implements multiple performance measures for supervised
learning.  Includes over 40 measures for regression and
classification. Additionally, meta information about the performance
measures can be queried, e.g. what the best and worst possible
performances scores are.

Marc Becker

mlr3measures

Performance Measures for 'mlr3'

Michel Lang

Martin Binder

Lona Koers

similarity_params function

<dl><dt>sets</dt>
<dd>(<code><a href="/link/list()?package=mlr3measures&version=1.2.0" data-mini-rdoc="mlr3measures::list()">list()</a></code>) 
List of character or integer vectors.
<code>sets</code> must have at least 2 elements.</dd>
<dt>p</dt>
<dd>(<code>integer(1)</code>) 
Total number of possible elements.</dd>
<dt>na_value</dt>
<dd>(<code>numeric(1)</code>) 
Value that should be returned if the measure is not defined for the input
(as described in the note). Default is <code>NaN</code>.</dd>
<dt>...</dt>
<dd>(<code>any</code>) 
Additional arguments. Currently ignored.</dd></dl>

Arguments

Similarity Parameters — similarity_params

<dl>

<dt>sets</dt>
<dd>(<code><a href='https://rdrr.io/r/base/list.html'>list()</a></code>) 
List of character or integer vectors.
<code>sets</code> must have at least 2 elements.</dd>


<dt>p</dt>
<dd>(<code>integer(1)</code>) 
Total number of possible elements.</dd>


<dt>na_value</dt>
<dd>(<code>numeric(1)</code>) 
Value that should be returned if the measure is not defined for the input
(as described in the note). Default is <code>NaN</code>.</dd>


<dt>...</dt>
<dd>(<code>any</code>) 
Additional arguments. Currently ignored.</dd>

</dl>

Similarity Parameters

similarity_params: Similarity Parameters

Description

Arguments