Amit Sharma

Thanks, there is a CLA sign pending. Can you have a look at that?

This is a good idea. I can implement this in the next PR.

thanks for your patience @ravitejar . Had planned it for v0.8 but we missed the target. This should be added within the next month to main, and then available in...

1. For your first question, using treatment=1 and control=0 is simply a convention for continuous treatment variables. You can set any value. That depends on your application and which value...

@xxwywzy @jbdatascience thanks for raising this issue. It turns out that the dataframe still contained some NA values that led to this error. To fix this error, simply add `dataset.dropna(inplace=True)`...

That's a great question @xxwywzy Yeah, this result is confusing. I'm paging @Sid-darthvader here, who contributed this notebook. @Sid-darthvader Can you help us interpret the estimate based on your knowledge...

@dearfad Did not hear back from @Sid-darthvader My sense is that the the text on towardsdatascience blog is incorrect and needs to be updated. I updated the hotel notebook in...

That's okay. Can you push the commit to this branch `yemaedahrav:amey/progress-warnings` so it becomes a part of the PR?

@yemaedahrav there is a bug in this PR. Can you check? File ~/work/dowhy/dowhy/dowhy/causal_model.py:422, in CausalModel.refute_estimate(self, estimand, estimate, method_name, show_progress_bar, **kwargs) 414 refuter_class = causal_refuters.get_class_object(method_name) 416 refuter = refuter_class( 417 self._data,...

@all-contributors please add @yemaedahrav for code.