smirik / mmr-ml

Classical Machine-Learning Approach to the identification of mean-motion resonances

This package is aimed to build machine-learning models for asteroid classification problem.

NOTE: the package is in ALPHA stage and should not be used without detailed review. It requires significant refactoring which will be performed soon

Installation

git clone https://github.com/smirik/mmr-ml.git

Documentation

Will be updated soon

1. Create a folder cache in the main directory.
2. Install all dependencies through poetry: poetry install.
3. Install astdys package (it is not published yet; hence, manual installation is required, see below)
4. Run commands from poetry shell: poetry shell.
5. Use the examples from examples folder to run simulations.
6. Check mmr_ml/__main__.py on how to run the code as a package.

TEMP: install astdys package

git clone https://github.com/smirik/astdys.git SOME_FOLDER
cd MMR_FOLDER
poetry shell
poetry add SOME_FOLDER

Structure

Simulation

Grid Search

References

Paper will be added soon.