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I am recently using EconML library for my research project in materials science and I am mainly using the framework of double machine learning to estimate heterogenous treatment effects.
One thing I am doing is to estimate y values of new data by adding E[Y|X], theta(X)*(T-E[T|X]), and beta(X) together. I learned that beta(X), the intercept, is by default fitted in the final casual forest model. However, I didn't find a method belonging to CausalForestDML to output that value for different Xs.
I am wondering if the intercept is hidden somewhere and how to output that.
Thanks in advance.
The text was updated successfully, but these errors were encountered:
Dear EconML team,
I am recently using EconML library for my research project in materials science and I am mainly using the framework of double machine learning to estimate heterogenous treatment effects.
One thing I am doing is to estimate y values of new data by adding E[Y|X], theta(X)*(T-E[T|X]), and beta(X) together. I learned that beta(X), the intercept, is by default fitted in the final casual forest model. However, I didn't find a method belonging to CausalForestDML to output that value for different Xs.
I am wondering if the intercept is hidden somewhere and how to output that.
Thanks in advance.
The text was updated successfully, but these errors were encountered: