scikit learn - sklearn random forest not parallelizing -

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i'm using sklearn 0.16 on ubuntu 12.04 , running:

from sklearn.ensemble import randomforestclassifier import numpy np x=np.random.rand(5000,500) y=(np.random.rand(5000).round()) randomforestclassifier(n_jobs=10,n_estimators=1000).fit(x,y)

however it's not using cores, , takes same time n_jobs=1. ideas on how debug what's going on here?

this screenshot shows other things running busy, htop has been showing available cpus:

enter image description here

try :

import affinity import multiprocessing affinity.set_process_affinity_mask(0, 2**multiprocessing.cpu_count()-1)

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