A dedicated framework for interpreting machine learning models in jet analysis.
To set up the required environment, install the necessary dependencies using setup.py
:
pip install .
For optional cleanup after installation, run:
rm -rf build *.egg-info
Follow these steps to create and visualize the heatmap:
- Configure Parameters: Set up configurations in
config.yaml
. - Train the Model: Execute
1_training.ipynb
to train the model. - Monitor Training: Use
2_metrics.ipynb
to track model performance. - Extract Outputs: Run
3_inference.ipynb
to generate intermediate outputs. - Visualize Heatmap: Launch
4_dash_heatmap.py
and open the generated dashboard in your browser.