print.classifier

Display a human-readable summary of a <code>classifier</code> object, including information about the k-NN classifier, the model fit, and the dimensions of the scores matrix.

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Bradley Buchsbaum

multivarious

Extensible Data Structures for Multivariate Analysis

print.classifier function

<dl><dt>x</dt>
<dd>A <code>classifier</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="/link/print()?package=multivarious&version=0.2.0" data-mini-rdoc="multivarious::print()">print()</a></code>.</dd></dl>

Arguments

Pretty Print Method for classifier Objects — print.classifier

<dl>

<dt>x</dt>
<dd>A <code>classifier</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code>.</dd>

</dl>

print.classifier: Pretty Print Method for `classifier` Objects

Description

Usage

Value

Arguments