rbruggner
commented
1 year ago Hi Michael, The best way to accelerate runtime is to compile Rclusterpp with multi-threaded support as it is the most computationally intense step (as you have noticed!). There are some old instructions on how to do that here: https://github.com/nolanlab/citrus/wiki/Installing-Citrus#Citrus_Installation_on_Mac_OS_X_using_MacPorts_and_g48_With_OpenMP_Support Unfortunately, they might be a bit out of date, but it's worth giving it a shot!
Hi, I could not find the answer within the documentation to the following question. If I overlooked something, please be so kind to point me there. You provided comprehensible full example for citrus.predict.classification. With my data it takes a long time to compute. I was wondering, is there a multicore approach for this example? Especially the clustering step takes a very long time to finish.
Best Regards Michael