Hi, I often run predictive models on large datasets with multiple combination of parameter space. I am wondering if there is any way to quickly check the execution plan, like how much time does it take to run a model. Here is a more specific example:
I have a set of datasets, S, of size 40000X700. I am fitting some ensemble models like, boosting, and random forests. I would like find out some execution plan, like approximate time of execution, etc. or some progress bar that gets updated as a particular model is going through various steps in the optimization. Is anything like this already exists that can be just loaded in to R and use it or we have to tweak the original source of the given model to do this for me? Thank you, Nagu ______________________________________________ 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.
