predict.dcSVM

The function applies a model produced by the 
 <code>dcSVM</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.dcSVM function

<dl><dt>object</dt>
<dd>Object of class "dcSVM", created by <code>dcSVM</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>other parameters passing to <code>predict.svm</code></dd></dl>

Arguments

Predictions with Divide-Conquer Support Vector Machines — predict.dcSVM

<dl>

<dt>object</dt>
<dd>Object of class "dcSVM", created by <code>dcSVM</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>other parameters passing to <code>predict.svm</code></dd>

</dl>

predict.dcSVM: Predictions with Divide-Conquer Support Vector Machines

Description

Usage

Arguments