classifier

Create a classifier from a given model object (e.g., <code>projector</code>). This classifier can generate predictions for new data points.

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

classifier function

<dl><dt>x</dt>
<dd>A model object, such as a <code>projector</code>, that has been fit to a training dataset.</dd>
<dt>colind</dt>
<dd>Optional vector of column indices used for prediction. If not provided, all columns will be used.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>classifier</code>.</dd></dl>

Arguments

Construct a Classifier — classifier

<dl>

<dt>x</dt>
<dd>A model object, such as a <code>projector</code>, that has been fit to a training dataset.</dd>


<dt>colind</dt>
<dd>Optional vector of column indices used for prediction. If not provided, all columns will be used.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>classifier</code>.</dd>

</dl>

classifier: Construct a Classifier

Description

Usage

Value

Arguments