Machine learning model support is available in Studio Pro 9.23 and above.
These activities can only be used in Microflows.
Introduction
Studio Pro 9.23 and above supports machine learning (ML) model integration in Mendix apps. Collectively called the Machine Learning (ML) Kit, this functionality allows Mendix developers to deploy a ML model built using common ML framework and language into the Mendix Runtime.
Use the Call ML Model activity in a microflow to call the ML model mapping document (see the Using the Model in a Microflow section of Integrate Machine Learning Models).
To get started with machine learning models, check out Using ML Kit.
Check out a demo app and Jupyter Notebook examples in our Demo for Mendix ML Kit repository for further information on working with machine learning models in Mendix.
Properties
Action
- ML model mapping – the ML model mapping model
- Input object – the inputObject, defined in the microflow with a Create Object or Java Action Call, and expects the same object type (not the entity) as in the model mapping
Output
- Output object – name of the output object (for example,
outputObject)