Is there a way to reduce the run time of the SAS gbm node in EM ? We are running HP forests and R inside the Open Source Integration node with comparable run times on the same data.
As soon as we run the SAS GBM with the same parameter sets as the R based GBM in the Open Source integration node the run time of the EM GBM nodes is 5-10 times slower.
Are there any system / node parameters that we can look at to speed up the processing.
Hi Jason,
Thanks for that. I am aware that GBM is still a serial procedure. I am also aware that HPFOREST runs in parallel even in SMP mode.
Is there a way to speed up the existing GBM node ? We are using GBM in R as our 'go-to' algorithm for most of our predictive models and we want to replicate that in SAS.
HOwever the SAS GBM is orders of magnitude slower than the R equivalent on exactly the same data.
SAS Viya is not on our horizon soon so we'll have to make do with SAS or R.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.