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

[Joel Nothman]

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> 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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