e_JS

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.

e_JS function

<dl><dt>...</dt>
<dd>character vectors to evaluate</dd></dl>

Arguments

Joseline Quiros &lt;joseline.quiros@promidat.com&gt;

Author

Eval character vectors to JS code — e_JS

<dl>

<dt>...</dt>
<dd>character vectors to evaluate</dd>

</dl>

e_JS: Eval character vectors to JS code

Description

Usage

Arguments

Author

Examples