I'm using sklearn 0.16 on Ubuntu 12.04 and running:
from sklearn.ensemble import RandomForestClassifier
import numpy as 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 up my cores, and takes the same time as n_jobs=1.
Any ideas on how to debug what's going on here?
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