flopsearch 0.1.3

Python package providing an implementation of the FLOP causal discovery algorithm for linear additive noise models

flopsearch

Python package providing an implementation of the FLOP causal discovery algorithm for linear additive noise models.

Installation

flopsearch can be installed via pip:

pip install flopsearch

Citing FLOP

If you use FLOP in your scientific work, please cite this paper:

@article{cifly2025,
  author  = {Marcel Wien{"{o}}bst and Leonard Henckel and Sebastian Weichwald},
  title   = {{Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning}},
  journal = {{arXiv preprint arXiv:2510.04970}},
  year    = {2025}
}

Example

A simple example run of the FLOP algorithm provided by flopsearch.

import flopsearch
import numpy as np
from scipy import linalg

p = 10
W = np.diag(np.ones(p - 1), 1)
X = np.random.randn(10000, p).dot(linalg.inv(np.eye(p) - W))
X_std = (X - np.mean(X, axis=0)) / np.std(X, axis=0)
flopsearch.flop(X_std, 2.0, restarts=20)