Amit Sharma

For the first error, you will need to install the `SID` package in R. you can open a R terminal/Rstudio and then do `install.packages("SID")` and then restart the notebook. Let...

That's an interesting question. A simple answer is to pre-process your variables. E.g., you can transform L1 to `sqrt(L1)` or `L1^2` before passing it to DoWhy. However, non-linear methods should...

thanks. Since this seems to be connected to EconML methods, I'm also tagging @moprescu from the EconML team who may be able to help.

I think this error is raised when you input your own graph as a string and forget to add all required nodes. So if you provide a dot graph with...

yes, that sounds good @leo-ware In the spirit of avoiding double negatives, you may consider `show_progress_bar={True/False}` (True by default) instead of `disable_progress_bar`. In addition, you can add any additional libraries...

thanks, great to hear @yemaedahrav. If you have any questions as you start implementing it, you can ping on the #refutations channel on Discord.

you can use the methods from econml. I would recommend double/debiased ML (DML) that works with continuous treatments. You can look at an example here: https://py-why.github.io/dowhy/example_notebooks/tutorial-causalinference-machinelearning-using-dowhy-econml.html

you can refer to this table: https://econml.azurewebsites.net/spec/comparison.html It should support multiple treatments. If you still face an error, can you post a minimum working example to debug?

The new dowhy version addresses most of these questions. I tried the following code, adapted from @codecD7 ``` from IPython.display import Image, display causes = ['x2'] outcomes = ['y'] graph...

Hey @stereoF thanks for raising this. For some reason, I'm unable to reproduce this bug. Can you try the notebook dowhy_causal_api.ipynb in the online Binder notebook here: https://mybinder.org/v2/gh/microsoft/dowhy/master?filepath=docs%2Fsource%2F If it...