InfoPos - Dataset Formation and Model Training Pipelines

The code utilised within the InfoPos project, consists of a series of pipelines. The current version of this artefact includes the functionality for training of traditional machine learning models, as well as the formation of a variety of datasets. Generated 
datasets provide different portions of the full data to fulfil machine learning model performance evaluation for different cases. The code is utilised within the publication "InfoPos: A ML-Assisted Solution Design Support Framework for Industrial Cyber-Physical Systems".

Refer to the provided README file for further details.