Also with n_jobs=2 I get the error. The method seems to be working
correctly on other datasets. I am using the version
>>> sk.__version__
'0.17.dev0'
and I am quiet sure that I was correctly using the method with sklearn 0.16
correctly.
Let me know if you need else.
Best,
Luca
On Wed, Apr 8,
Right now I'm using the default values, which means decision tree as the
estimator and learning rate 1.0.
I should probably change the learning rate, at the very least, because I'm not
getting good performance.
Does it make sense to use random forest, instead of decision tree?
Thanks,
From:
