Prediction of radio-detectable AGN with Machine Learning pipeline

Jupyter notebook with example script to load and run prediction pipeline from Carvajal et al. (2023). Article can be found at https://doi.org/10.1051/0004-6361/202245770 and https://arxiv.org/abs/2309.11652

Data and model files can be obtained from Zenodo

• running_pred_pipeline.ipynb contains a simple code to download the files and run the prediction pipeline on them.
• global_variables.py contains names and paths of files for running the code.
• global_functions.py contains a few functions to run each step of the prediction pipeline.