[scikit-learn] sklearn.model_selection.GridSearchCV - unable to use n_jobs>1 on MacOS Sierra python 2.7

[Bill Ross]

What interval between dying, vs. how long is the run overall? Obviously 
you want that ratio to be 'small enough'.


On 1/7/18 3:35 PM, Joel Nothman wrote:
> What do you mean by "the jobs start to die out one by one"? Surely the 
> jobs should finish and die out one by one...?
>
> On 8 January 2018 at 06:35, Sumeet Sandhu <sumeet.k.sandhu at gmail.com 
> <mailto:sumeet.k.sandhu at gmail.com>> wrote:
>
>     Hi,
>
>     I was able to run this with n_jobs=-1, and the activity monitor
>     does show all 8 CPUs engaged, but the jobs start to die out one by
>     one. I tried with n_jobs=2, same story.
>     The only option that works is n_jobs=1.
>     I played around with 'pre_dispatch' a bit - unclear what that does.
>
>         GRID = GridSearchCV(LogisticRegression(), param_grid,
>         scoring=None, fit_params=None, n_jobs=1, iid=True, refit=True,
>         cv=10, verbose=0, error_score=0, return_train_score=False)
>         GRID.fit(trainDocumentV,trainLabelV)
>
>
>     How can I sustain at least 3-4 parallel jobs?
>
>     thanks,
>     Sumeet
>
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