Amit Sharma

When I run this code, I'm unable to reproduce the error. I had to create my own data since encode_data is not available and your graph does not include the...

thanks for contributing, @rahulbshrestha It will be nice to output an error message that describes the source of the bug. Something like, "Some nodes are missing in the graph: {node1name,...

Try this. Does the following code raise the error? model=CausalModel( data = df, treatment='X', outcome='Y', graph="digraph {Z -> X;}" ) model.view_model()

Thanks for checking @rahulbshrestha Looks like this issue is resolved in the current version. We can close this issue.

As @gabrielgorenroig remarked, this issue has been fixed in recent releases. I tested with v0.10. Following up on @gabrielgorenroig issue in #971.

Sure. At a high level, the doubly robust estimator is a combination of the regression estimator and the inverse propensity weighting estimator. So, you will need to create a new...

thanks for sharing @adam2392 This is great since it will work for multiple types of graphs. Clearly an improvement over the current implementation! If anyone would like to contribute, let...

Agree, that sounds like a plan! Thanks Adam. @aryan26roy you can work with @adam2392 to get started on this

This is a numpy issue. `long` has been removed in 1.24. You can use 1.23 version of numpy (or any other version >=1.20) to avoid this error. dowhy does not...

Good point, and thanks for providing the reference. It was set to 100 primarily to avoid computational burden for a new user. Let's set it to 399. Feel free to...