Synthetic Mixed Data Generator

Synthetic Mixed Data Generator (SMDG) is an open-source tool distributed under GNU General Public License written in Java for producing supervised mixed datasets described by relevant, irrelevant, and redundant features.

Requirements and Uses

Prerequisites:

To clone, build, and compile the Project, the following software tools are needed:

• Git
• JDK 1.7 or above (Oracle, OpenJDK, GraalVM, Azul, or any other)
• Maven (See this tutorial for installation)

Synthetic Mixed Data Generator requires:

• weka-stable 3.8.4
• commons-math3 3.2
• log4j 1.2.17
• opencsv 3.3
• flatlaf 0.37

Source code:

Download the latest sources with the command:

git clone https://github.com/sausolofer/Synthetic-Mixed-Data-Generator.git

Run and Uses:

• To use the Synthetic Mixed Data Generator in your Java code, see the file "Example.java" located in smdg.examples package.

• To Build and run the Maven Project from the Command Line, execute the following steps:

  1.- From the main directory of the project (i.e., where the pom.xml file is), compile the project and generate target folder using:

  mvn compile

  2.- Builds the maven project, cleans the target/ folder, and installs it into the local maven repository.

  mvn clean install

  3.- In order to execute the Examples.java class, and in general, any main class generated in the target folder, the Maven's exec plugin can be used as follows:

  mvn exec:java -Dexec.mainClass=smdg.examples.Examples

  • Note 1: You must run the previous command from the main directory of the project, that is, where the pom.xml file is located.
  • Note 2: If changes are made to the code, mvn compile needs to be executed again before calling exec.

  4.- To run the Graphical User Interface (SMDG-GUI), execute the SyntheticMDG.java file located in smdg.gui package with the following command.

  mvn exec:java -Dexec.mainClass=smdg.gui.SMDGMainJFrame

Development

Important links:

• Official source code repo: https://github.com/sausolofer/Synthetic-Mixed-Data-Generator
• Download releases: https://sourceforge.net/projects/smdg/files/latest/download

Help and Support

Documentation

• HTML documentation: An overview of the project's classes and methods is available here.

Citation:

If you use the "Synthetic Mixed Data Generator" in a scientific publication, we would appreciate citations:

@article{solorio2022DataGenerator,
title={A Multipurpose Synthetic Mixed Data Generator},
author={Solorio-Fernández, Saúl and Carrasco-Ochoa, J. Ariel and Martínez-Trinidad, J. Francisco},
year={2021},
}

Contact:

Feel free to reach out to ssolori1@asu.edu.com if you have any problems running the code or if you have a question about the repository as a whole. Lastly, if you have any suggestions to improve this repository, create an issue or send an email if that's more applicable.