Skip to content

Conversation

adam2392
Copy link
Collaborator

@adam2392 adam2392 commented Jan 9, 2023

Changes proposed in this pull request:

  • Introduces the basic time-series causal discovery algorithm: a variant of the tsFCI algorithm
  • Experimental research code demonstrating robust causal discovery using various representations (summary and time series graph representation)

Before submitting

  • I've read and followed all steps in the Making a pull request
    section of the CONTRIBUTING docs.
  • I've updated or added any relevant docstrings following the syntax described in the
    Writing docstrings section of the CONTRIBUTING docs.
  • If this PR fixes a bug, I've added a test that will fail without my fix.
  • If this PR adds a new feature, I've added tests that sufficiently cover my new functionality.

After submitting

  • All GitHub Actions jobs for my pull request have passed.

@adam2392 adam2392 marked this pull request as draft January 9, 2023 20:28
Signed-off-by: Adam Li <[email protected]>
@adam2392 adam2392 mentioned this pull request Jan 11, 2023
Signed-off-by: Adam Li <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant