Hi, I have binary file with a set of tunable real parameters. Upon execution the file returns 0 or 1 with some probability. (therefore (nonlinear) logistic regression) I need to find a set of parameters for which the probability of 1 is high.
I would like to create program that would repeatably execute my file with different parameters, get 0,1 response after each execution (therefore active learning) and build a model of the underlying probability distribution. How to aproach this problem with R? Are there libraries, scripts that I could start with? Thanks Lukasz Lew ______________________________________________ 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.
