I am trying to run SVR using scikit learn ( python ) on a training dataset having 595605 rows and 5 columns(features) and test dataset having 397070 rows. The data has been pre-processed and regularized.
I am able to successfully run the test examples but on executing using my dataset and letting it run for over an hour, I could still not see any output or termination of program. I have tried executing using a different IDE and even from terminal but that doesn't seem to be the issue. I have also tried changing the 'C' parameter value from 1 to 1e3.
I am facing similar issues with all svm implementations using scikit.
Am I not waiting enough for it to complete ? How much time should this execution take ?
From my experience it shouldn't require over a few minutes.
Here is my system configuration: Ubuntu 14.04, 8GB RAM, lots of free memory, 4th gen i7 processor