Hi Jan,
I was going to benchmark training time, for most use cases I have inference time is less of a problem, but still important. I was hoping to just leverage the TF-DF wrapper and attain comparable/better training times than sklearn and go on from there. However, the memory issues are a bit of a showstopper for me as I deal with high dimensional data and don’t want to necessarily execute feature reduction.(Hence the desire for RF). Anyway, everything is a work in progress. I will look at the inference benchmark tool as you suggested.
thanks,
Dan