svm_model

data

the name of the variable to be predicted.

variable.pred

scale

string. The kernel parameter of the model.

kernel

generates a support vector machines model.

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Oldemar Rodriguez

regressoR

Regression Data Analysis System

Oldemar Rodriguez R.

Andres Navarro D.

Diego Jimenez A.

Ariel Arroyo S.

svm_model function

<dl><dt>data</dt>
<dd>dataframe</dd>
<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>
<dt>scale</dt>
<dd>the scale parameter of the model.</dd>
<dt>kernel</dt>
<dd>string. The kernel parameter of the model.</dd></dl>

Arguments

svm_model — svm_model

<dl>

<dt>data</dt>
<dd>dataframe</dd>


<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>


<dt>scale</dt>
<dd>the scale parameter of the model.</dd>


<dt>kernel</dt>
<dd>string. The kernel parameter of the model.</dd>

</dl>

svm_model: svm_model

Description

Usage

Arguments

See Also