InfoPos - Dataset Formation and Model Training Pipelines
Abstract
This code artefact provides the InfoPos pipelines for preparing datasets and training traditional
Machine Learning (ML) models. The pipelines form several datasets from selected portions of the
source data, supporting model performance evaluation across different cases. The software
accompanies the publication "InfoPos: A Design Support Framework for ML-Assisted Fault Detection and
Identification in Industrial Cyber-Physical Systems".
Refer to the provided README file for further details.