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
