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doc/faq.rst
@@ -261,7 +261,7 @@ 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
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use the 'forkserver' or 'spawn' start methods (instead of the default
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'fork') to manage the process pools. To work around this issue when
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-using scikit-learn, you can set the JOBLIB_START_METHOD environment
+using scikit-learn, you can set the ``JOBLIB_START_METHOD`` environment
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variable to 'forkserver'. However the user should be aware that using
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the 'forkserver' method prevents joblib.Parallel to call function
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interactively defined in a shell session.
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