This repository contains the supporting code and machine learning classifier used in the "Finding Black Holes with Black Boxes" paper. There is also an interactible Jupyter notebook which contains an interface that end users may provide with observational values to get predictions based on MOCCA simulations.

To provide observational features and use the code interactively, click here:

Once launched just click "Run" in the top and scroll down to the form.

• tests/ - Folder containing some basic tests.
• simulations.csv - CSV file containing data form MOCCA simulations.
• classifier.py - Python code to generate and train the classifier.
• notebook.ipnyb - Interactible Jupyter notebook.

You may run the unit tests with:

python -m pytest