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cdt15 / lingam

Python package for causal discovery based on LiNGAM.
https://sites.google.com/view/sshimizu06/lingam
MIT License
380 stars 59 forks source link

add LiM method (for linear mixed data) #46

Closed YanaZeng closed 2 years ago

YanaZeng commented 2 years ago

Dear all, I added the code of LiM method [1] in the lingam project. Please check it.

[1] Zeng Y, Shimizu S, Matsui H, et al. Causal discovery for linear mixed data[C]//Conference on Causal Learning and Reasoning. PMLR, 2022: 994-1009.

Thanks so much for your great efforts!

Best, Yan Zeng

ikeuchi-screen commented 2 years ago

Hi, @YanaZeng. Thank you for adding the implementation of the new algorithm 'LiM'!

First, I checked the file name included in the pull request. I think the following 8 files are configuration files, is it possible to delete them?

YanaZeng commented 2 years ago

Hi, @ikeuchi-screen. Please feel free to delete the files you mentioned. I'm sorry for my inconvenience.

Best, Yan Zeng

Hi, @YanaZeng. Thank you for adding the implementation of the new algorithm 'LiM'!

First, I checked the file name included in the pull request. I think the following 8 files are configuration files, is it possible to delete them?

  • .idea/.gitignore
  • .idea/.name
  • .idea/deployment.xml
  • .idea/inspectionProfiles/profiles_settings.xml
  • .idea/lingam.iml
  • .idea/misc.xml
  • .idea/modules.xml
  • .idea/vcs.xml
ikeuchi-screen commented 2 years ago

Hi, @YanaZeng. The following codes are considered an unintended change, so I have reverted the change back:

YanaZeng commented 2 years ago

Hi, @ikeuchi-screen. Thank you!

Hi, @YanaZeng. The following codes are considered an unintended change, so I have reverted the change back:

  • examples/DirectLiNGAM.ipynb
  • examples/RCD.ipynb
  • examples/RESIT.ipynb