cain_2024_domain_knowledge

Replication package for the paper:

"Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge" submitted to the 4th International Conference on AI Engineering – Software Engineering for AI (CAIN)

Set up the environment

We use uv to manage the environment. Follow the documentation to install it. Alternatively, you can use the requirements.txt file to install the dependencies.

Collected data

All the data collected during the experiment can be found in the data/measurements.csv file.

Data analysis

The data analysis can be found in the statistical-analysis.ipynb notebook. All the plots generated are saved in the figures/ folder.