I am using the gbm package for generalized boosted regression models, and would like to be able to extract the coefficients produced for storage in a database.
I am already using R to automatically generate formulas that I can export to a database and store. For example, I have been using Dr. Harrell's lrm package to perform logistic regression, e.g.: output <- lrm(outcome~predictor1+predictor2,data=dataset) cat(output$coefficients) This allows me to take input (predictor1) from a user, multiply it by the correctly transformed $coefficient, and to produce a success probability without having to run R again. Is it possible to do this with gbm? If not in general, is it perhaps at least possible to do so in the case where interaction.depth=1 (e.g., no interactions are allowed)? Thank you for any insight! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
