How Do you get Predicted Values of Y after Causal Forest?

[Matthew-R-Lehnert]

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Currently, I am working on a project involving predicting carbon emissions, and we want to compare predictions between causal forest with some other models. Is there an easy way to get predicted values of Y using causal forest? I understand the output of predict after causal forest is the CATE. Did I miss something simple to where I can instead get predicted values of Y? Or does one need to fit a regression_forest separately for W and Y? Thank you so much for your help. I apologize if I overlooked something simple. Keep up the great work!

[erikcs]

Hi @Matthew-R-Lehnert, this vignette https://grf-labs.github.io/grf/articles/muhats.html has an example of how to recover the implicit E[Y(1)|X] and E[Y(0)|X] estimates from, E[Y|X], E[W|X] and the CATEs

[Matthew-R-Lehnert]

Thanks! this is a great link.