Data for: Orthogonal Procrustes and Machine Learning: Predicting Bill of Material Errors on Time
Published: 17 April 2023| Version 3 | DOI: 10.17632/wspxdsnmh3.3
Contributor:
Simon Schramm
Description
A detailed description can be found in the README file.
Files
Steps to reproduce
Download all of the specified files and run main.py to start the pipeline. Further information can be found in the README file.
Categories
Computer Science, Artificial Intelligence, Artificial Neural Networks, Clustering
Funding
BMW Group