A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
This is an implementation of the following paper:
If you find this code useful, please consider citing:
Given the exact differentiable characterization of a DAG, we are interested in solving the foll…
