predict.gater

Object of class "gater", created by <code>gater</code>.

object

An n x p matrix containing the new input data. Could be a matrix or a sparse matrix object.

newdata

The function applies a model produced by the 
 <code>gaterSVM</code> function to every row of a data matrix and returns the model predictions.

Three ensemble learning algorithms based on support vector machines.
They all train support vector machines on subset of data and combine the result.

Tong He

SwarmSVM

Ensemble Learning Algorithms Based on Support Vector Machines

predict.gater function

<dl><dt>object</dt>
<dd>Object of class "gater", created by <code>gater</code>.</dd>
<dt>newdata</dt>
<dd>An n x p matrix containing the new input data. Could be a matrix or a sparse matrix object.</dd>
<dt>...</dt>
<dd>parameters for future usage.</dd></dl>

Arguments

Predictions for Gater function — predict.gater

<dl>

<dt>object</dt>
<dd>Object of class "gater", created by <code>gater</code>.</dd>


<dt>newdata</dt>
<dd>An n x p matrix containing the new input data. Could be a matrix or a sparse matrix object.</dd>


<dt>...</dt>
<dd>parameters for future usage.</dd>

</dl>

predict.gater: Predictions for Gater function

Description

Usage

Arguments