MICP-NID

Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Model

A python package for our method is available at: https://pypi.org/project/micodag/

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Data		Data
R_methods		R_methods
LICENSE		LICENSE
MICP_NID.py		MICP_NID.py
MICP_NID_alpha_test.py		MICP_NID_alpha_test.py
MICP_NID_alpha_test_choose_lambda.py		MICP_NID_alpha_test_choose_lambda.py
MICP_NID_early_stopping.py		MICP_NID_early_stopping.py
MICP_NID_without_OA.py		MICP_NID_without_OA.py
OPT_LNConic_L0.py		OPT_LNConic_L0.py
OPT_LNConic_L0_alpha_test.py		OPT_LNConic_L0_alpha_test.py
OPT_LNConic_L0_choose_lambda.py		OPT_LNConic_L0_choose_lambda.py
OPT_LNConic_L0_choose_lambda_synthetic_data.py		OPT_LNConic_L0_choose_lambda_synthetic_data.py
README.md		README.md
choose_lambda.py		choose_lambda.py
choose_lambda_synthetic_data.py		choose_lambda_synthetic_data.py
functions.py		functions.py

AtomXT/MICP-NID