tipatubi

@kbattocchi Here is the output of my policy. and as you mentioned, it is able to process continuous variables but the issue is that the policy does not tell me...

@kbattocchi I guess, I want to first understand how to read this output. Maybe that will answer my question. 1. Does this say that for 1 increase in Treatment 0,...

@kbattocchi This makes a lot of sense now. And yes, it is the object causal_forest.const_marginal_effect_inference(X_test) that produced the output of discussion. Thanks a ton! Just to ensure I understand the...

@kbattocchi Could you help me close the loop on this ticket please? I wanted to confirm my understanding and hope you can help. thanks a ton!

@kbattocchi Interesting and makes so much sense! As far as the marginal effect times the change in treatment (25 * (-2.7) in my case goes, is there a way to...

@darthtrevino Thank you so much for routing this to the right person. I am so excited to hear back from @emrekiciman.

@emrekiciman Thank you so much. This is helpful. The only aspect the notebook does not address is if how to specify multiple (continous outcomes or Ys). Can you please assist...

@emrekiciman Sorry to bother again but I wonder if my last question reg. the multiple outcome aspect came trough?

@emrekiciman I found something that may work with EconML/Dowhy. I got to the point of creating an output like this: The issue I am having is to map the anonymized...

@kbattocchi Gotcha, very helpful. Just just make sure I understood correctly for the `Marginal_ATE`, so basically it tells us the relative change in the outcome based on a slight change...