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DOC joblib default start method is not forkserver (scikit-learn#7077)
for Python 3.4+. This was reverted in joblib 0.9.3 in order to support interactive functions passed into joblib.Parallel.
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doc/faq.rst

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@@ -231,8 +231,7 @@ consider the lack of fork-safety in Accelerate / vecLib as a bug.
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In Python 3.4+ it is now possible to configure ``multiprocessing`` to use the
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'forkserver' or 'spawn' start methods (instead of the default 'fork') to manage
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the process pools. This makes it possible to not be subject to this issue
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anymore. The version of joblib shipped with scikit-learn automatically uses
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that setting by default (under Python 3.4 and later).
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anymore.
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If you have custom code that uses ``multiprocessing`` directly instead of using
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it via joblib you can enable the 'forkserver' mode globally for your

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