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.san...@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 > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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