rapids

问题 I am using RandomForestClassifier on CPU with SKLearn and on GPU using RAPIDs. I am doing a benchmark between these two libraries about speed up and scoring using Iris dataset (it is a try, in the future, I will change the dataset for a better benchmarking, I am starting with these two libraries). The problem is when I measure the score on CPU always get a value of 1.0 but when I try to measure the score on GPU I get a variable value between 0.2 and 1.0 and I do not understand why could be it

问题 I was wondering if I could install RAPIDS library (executing machine learning tasks entirely on GPU) in Google Colaboratory notebook? I've done some research but I've not been able to find the way to do that... 回答1: Looks like various subparts are not yet pip-installable so the only way to get them on colab would be to build them on colab, which might be more effort than you're interested in investing in this :) https://github.com/rapidsai/cudf/issues/285 is the issue to watch for rapidsai