I was wondering if anyone knows of a random forest implementation (or way
of tweaking the standard randomForest library) that allows one to specify
some sort of variable importance a* *priori.
For example, say that I know that some variables/factors could be more
informative than others for classification. I would like to help RF look at
these variables more than others during splitting.
As far as I know, the standard implementations choose factors fully
randomly (i.e. uniform distribution) at each node.
Is there a way to influence this selection?
Thanks!
James
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