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crflynn / skgrf

scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library
https://skgrf.readthedocs.io/en/stable/
GNU General Public License v3.0
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Increase default n_estimators in causal forest #34

Closed crflynn closed 3 years ago

crflynn commented 3 years ago

per: https://github.com/crflynn/skgrf/pull/28#issuecomment-818975106

You might also want to increase the default number of trees in causal forest, 100 will typically not give great kernel weights. If you are using 100 as the default because of sklearn, I can imagine it's that low because of speed (which isn't much of an issue since grf is faster)