Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tutorial on GIN #96

Open
adam2392 opened this issue Jan 13, 2023 · 0 comments
Open

Tutorial on GIN #96

adam2392 opened this issue Jan 13, 2023 · 0 comments
Labels
documentation Improvements or additions to documentation

Comments

@adam2392
Copy link
Collaborator

adam2392 commented Jan 13, 2023

Is your feature request related to a problem? Please describe.
Before implementing a native version, a first step could be to demonstrate the usage of GIN by for example replicating one of the simulation results in the original paper. One should note that the algorithm only has guarantees when all observed variables have no direct causal relationships with each other.

It should be noted in the tutorial.

Afterwards, a native implementation (#87) can take place that can use the unit tests and the tutorial to check for correctness.

Describe the solution you'd like
Add a notebook to docs/tutorials, or add a short python script example to examples/. I think since this is "explaining an algorithm", this would be more "in-depth" and should therefore be a tutorial.

Additional context
cc: @robertness wanna add this, since you're more familiar?

@adam2392 adam2392 added the documentation Improvements or additions to documentation label Feb 8, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
documentation Improvements or additions to documentation
Projects
None yet
Development

No branches or pull requests

1 participant