Published January 15, 2025
| Version v1
Software
Open
COMFOCUS Scientific analysis and visualization
Authors/Creators
Contributors
Description
Developed scientific analysis and visualization tools for the COMFOCUS Toolbox leveraging explainable ML techniques to help food consumer researchers visualize data analysis and understand ML model decisions.
Two tools have been created: one integrates data into the COMFOCUS Knowledge Graph (COMFOCUS-KG) for interoperability, while the other focuses on textual data analysis. Both tools are implemented as Jupyter Notebooks, enabling user-friendly data analysis workflows.
Data for testing them can be requested from the COMFOCUS community.
Files
COMFOCUS_Data_Pipeline_for_Explainable_Classification.ipynb
Files
(847.9 kB)
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Additional details
Software
- Programming language
- Python