Overview

Example application that demonstrates how to integrate machine learning predictions from Altair RapidMiner into a Mendix application using REST services.

This example focuses on employee attrition prediction, showing how to consume AI Hub endpoints to make data-driven HR decisions within your Mendix apps. No extensive knowledge of data science or machine learning is required to follow the example. Altair's RapidMiner and this how-to contains all you need to get started.

This project contains practical examples of:

• Employee attrition prediction using machine learning models

• REST integration with Altair AI Hub endpoints

• Export and import mappings for AI Hub request and response handling

• Batch processing of multiple employee predictions

The example demonstrates a complete workflow from sending employee data to AI Hub, receiving attrition predictions, and integrating those insights back into your Mendix application for proactive HR management.

How to get started

1. Follow the instructions here on how to use Altair's AI Studio and AI Hub to train and deploy your ML models

2. Open the app in Studio Pro

3. Follow the example to setup the connection and test with demo data or create your own employee data

Prerequisites

• Access to Altair AI Hub with a deployed employee attrition model endpoint as described here

Documentation

Use this app as an example to learn how to integrate Altair RapidMiner into your Mendix app.

The app demonstrates how to use JSON Structures, import and export mappings and finally default REST calls to bring machine learning models from Altair into your Mendix app.

To understand Altair AI Studio and AI Hub, follow the documentation.