reprocess.nystrom_approx

Apply preprocessing to new data for projection using a Nyström approximation.
This method overrides the default <code>reprocess.projector</code> to handle the fact that
Nyström components are in kernel space (not feature space).

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

reprocess.nystrom_approx function

<dl><dt>x</dt>
<dd>A <code>nystrom_approx</code> object</dd>
<dt>new_data</dt>
<dd>A matrix with the same number of columns as the original training data</dd>
<dt>colind</dt>
<dd>Optional column indices (not typically used for Nyström)</dd>
<dt>...</dt>
<dd>Additional arguments (ignored)</dd></dl>

Arguments

Reprocess data for Nyström approximation — reprocess.nystrom_approx

<dl>

<dt>x</dt>
<dd>A <code>nystrom_approx</code> object</dd>


<dt>new_data</dt>
<dd>A matrix with the same number of columns as the original training data</dd>


<dt>colind</dt>
<dd>Optional column indices (not typically used for Nyström)</dd>


<dt>...</dt>
<dd>Additional arguments (ignored)</dd>

</dl>

reprocess.nystrom_approx: Reprocess data for Nyström approximation

Description

Usage

Value

Arguments