• Python package for causal disc...

Treffer: Python package for causal discovery based on LiNGAM.

Title:
Python package for causal discovery based on LiNGAM.
Authors:
Takashi Ikeuchi1 IKEUCHI@SCREEN.CO.JP, Mayumi Ide1 IDE@SCREEN.CO.JP, Yan Zeng2 YANAZENG013@GMAIL.COM, Takashi Nicholas Maeda3,4 TN.MAEDA@MAIL.DENDAI.AC.JP, Shohei Shimizu4,5 SHOHEI-SHIMIZU@BIWAKO.SHIGA-U.AC.JP
Source:
Journal of Machine Learning Research. 2023, Vol. 24, p1-8. 8p.
Subject Terms:
*PYTHON programming language, *STATISTICAL reliability, *SOURCE code, *STATISTICAL models, *CAUSAL models
Company/Entity:
MASSACHUSETTS Institute of Technology
Database:
Academic Search Index

Weitere Informationen

Causal discovery is a methodology for learning causal graphs from data, and LiNGAM is a well-known model for causal discovery. This paper describes an open-source Python package for causal discovery based on LiNGAM. The package implements various LiNGAM methods under different settings like time series cases, multiple-group cases, mixed data cases, and hidden common cause cases, in addition to evaluation of statistical reliability and model assumptions. The source code is freely available under the MIT license at https://github.com/cdt15/lingam. [ABSTRACT FROM AUTHOR]