Machine Learning Models and file formats

This chapter provides an overview of supported Machine Learning models and lists guiding principles for the selection of a suitable model. In addition, it contains for each algorithm an example-based description of how you can export trained models from a Python environment as an ONNX file. The exported ONNX file must be converted into a TwinCAT-specific XML or BML file. For this purpose, several interfaces to a converter are available (CLI, API and GUI), with which the file management process can be integrated into your existing software landscapes.