Skip to content

Latest commit

 

History

History
64 lines (44 loc) · 2.3 KB

README.md

File metadata and controls

64 lines (44 loc) · 2.3 KB
Raw

pyoperon

License Build-linux Build-macos Matrix chat

pyoperon is the python bindings library of Operon, a modern C++ framework for symbolic regression developed by Heal-Research at the University of Applied Sciences Upper Austria.

A scikit-learn regressor is also available:

from pyoperon.sklearn import SymbolicRegressor

The example folder contains sample code for using either the Python bindings directly or the pyoperon.sklearn module.

Installation

New releases are published on github and on PyPI.

Most of the time pip install pyoperon should be enough.

Building from source

Conda/Mamba

  1. Clone the repository
git clone https://github.com/heal-research/pyoperon.git
cd pyoperon
  1. Install and activate the environment (replace micromamba with your actual program)
micromamba env create -f environment.yml
micromamba activate pyoperon
  1. Install the dependencies
export CC=${CONDA_PREFIX}/bin/clang
export CXX=${CONDA_PREFIX}/bin/clang++
./script/dependencies.sh
  1. Install pyoperon
pip install .

Nix

Use this environment created with poetry2nix

nix develop github:foolnotion/poetryenv --no-write-lock-file

This will install operon and dependencies. Modify the flake file if you need additional python libraries (see https://github.com/nix-community/poetry2nix#how-to-guides)

Contributing

See the CONTRIBUTING document.