plotWeights

Shows, one graph per attribute, the weights of all
attributes. The type of graph depends on the type of the attribute: the
spline line of the corresponding attribute in case a spline has been used, a
bar plot for categorical and logical values, and a linear line for all other
type of the attribute values. This function cannot be used in a model with a
non-linear kernel.

Implements the SVM-Maj algorithm to train data with support vector machine
<doi:10.1007/s11634-008-0020-9>.
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.

Hok San Yip

SVMMaj

Implementation of the SVM-Maj Algorithm

Hoksan Yip

Georgi Nalbantov

plotWeights function

<dl><dt>object</dt>
<dd>The model returned from <code>svmmaj</code>.</dd>
<dt>plotdim</dt>
<dd>A vector of the form <code>c(nr, nc)</code>. Subsequent figures
will be drawn in an <code>nr</code>-by-<code>nc</code> array on the device.</dd>
<dt>...</dt>
<dd>other parameters given to the <code>plot</code> function</dd></dl>

Arguments

Plot the weights of all attributes from the trained SVM model — plotWeights

<dl>

<dt>object</dt>
<dd>The model returned from <code>svmmaj</code>.</dd>


<dt>plotdim</dt>
<dd>A vector of the form <code>c(nr, nc)</code>. Subsequent figures
will be drawn in an <code>nr</code>-by-<code>nc</code> array on the device.</dd>


<dt>...</dt>
<dd>other parameters given to the <code>plot</code> function</dd>

</dl>

plotWeights: Plot the weights of all attributes from the trained SVM model

Description

Usage

Arguments