User 3069 | 2/2/2016, 9:18:29 AM
I wonder, why during decision trees work CPU load is only about 400% when it is 1600% available (16 cores). Is there some way to tune this up? May be some other runtime parameter like 'GRAPHLABDEFAULTNUMPYLAMBDAWORKERS' and 'GRAPHLABDEFAULTNUMGRAPHLAMBDA_WORKERS' dedicated for that?
Are there any other advises to speed up this model training time besides reducing maxiterations and maxdepth?