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Hello,
I have been following one of the examples (here) and I see the meta learners have a . get_shap_values and plot_shap_values methods for SHAP values. Also, I think they have a fit_predict method to get the individual treatment effects. But I don't see the same methods for the causal forest approach. Can I ask how we can get those for the causal forest?
The text was updated successfully, but these errors were encountered:
Hi, CausalTreeRegressor and CausalRandomForestRegressor in #522 could be interpreted directly via shap (shap.TreeExplainer) with minor package update. See example.
I could open new PR for this feature and PR for causalml support in shap but #522 is still open. So we need some time to get it reviewed and merged.
Hello,
I have been following one of the examples (here) and I see the meta learners have a
. get_shap_values
andplot_shap_values
methods for SHAP values. Also, I think they have afit_predict
method to get the individual treatment effects. But I don't see the same methods for the causal forest approach. Can I ask how we can get those for the causal forest?The text was updated successfully, but these errors were encountered: