The application is Logistic Regression (OWLQN), we develop a sparse vector version. The feature dimesions is 1M+, but its very sparse. This appliction can run on another spark cluster, and every stage is about 50 seconds, and every executors have highly cpu usage. the only difference is OS(the faster one is ubuntu, and the slower on is centos).
- Re: why a machine learning application run slowly on the spa... Xiangrui Meng
- Re: why a machine learning application run slowly on th... Tan Tim
- Re: why a machine learning application run slowly o... Xiangrui Meng
- Re: why a machine learning application run slow... Tan Tim
- Re: why a machine learning application run ... Xiangrui Meng
- Re: why a machine learning application... Tan Tim
- Re: why a machine learning applica... Xiangrui Meng