Hi,
an example of common parallel operation in sklearn is in line 1091 of this
file
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/linear_model/coordinate_descent.py#L1091
The work is divided among the n_jobs cores. I am wondering if this means
that the data (X,y) is duplicated in order to be independently processed
by each core or if there is a system that allow the access to the same data
to the various cores.
Thanks a lot,
Luca
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