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You can find here a custom implementation of the Generalized Random Forest (https://github.com/swager/grf) for the Caret-Framework.
By default the grid-search is using the output from tune_regression_forest() and the random search takes the output of tune_regression_forest() as starting point. In both cases honest tree splitting is turned on.
Feedback is welcome.
forked from MarkusBerroth/caret-grf
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