Hi, 

Does R provide functions for pruning of Additive Regression Tree Models? 

Suppose I have grown a large set of trees, say 3000 trees, and now want to find a 'computationally more economic' approximation of the function defined by the trees. In the case of a single tree this is pruning. Is there anything similar for (M)ART? 

In case this matters I use the gbm package for model estimation. Intuitively, at least in the case when the shrinkage parameter is set to a rather small value, there there should be a way to compress the trees since consecutive trees are correlated. 

Thank you in advance for your help, 
Vadim 

P.S. If possible, please reply to me directly since I do not follow the r-help list anymore due to its high traffic 


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