app_server

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

Diego Jimenez A.

app_server function

<dl><dt>input, output, session</dt>
<dd>Internal parameters for shiny.
DO NOT REMOVE.</dd></dl>

Arguments

The application server-side — app_server

<dl>

<dt>input, output, session</dt>
<dd>Internal parameters for shiny.
DO NOT REMOVE.</dd>

</dl>

app_server: The application server-side

Description

Usage

Arguments