Use predict(my.gbm,type="response") If you use bag.fraction=1.0 then all observations are guaranteed to be used. For other choices, and assuming that you are doing a reasonable number of iterations, like 1000, then there is only a negligible chance that an observation won't be selected.
________________________________________ From: Changbin Du [mailto:changb...@gmail.com] Sent: Tuesday, June 15, 2010 11:06 AM To: Ridgeway, Greg Cc: r-help@r-project.org Subject: output from the gbm package HI, Dear Greg and R community, I have one question about the output of gbm package. the output of Boosting should be f(x), from it , how to calculate the probability for each observations in data set? SInce it is stochastic, how can guarantee that each observation in training data are selected at least once? IF SOME obs are not selected, how to calculate the training error? Thanks? -- Sincerely, Changbin -- Changbin Du DOE Joint Genome Institute Bldg 400 Rm 457 2800 Mitchell Dr Walnut Creet, CA 94598 Phone: 925-927-2856 __________________________________________________________________________ This email message is for the sole use of the intended r...{{dropped:6}} ______________________________________________ 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.
