Are you monitoring your RAM memory consumption? I would say that it is the cause of the majority of the kernel crashes El El vie, 2 jun 2017 a las 12:45, Aymen J <a...@hotmail.fr> escribió:
> Hey Guys, > > > So I'm trying to fit an SGD classifier on a dataset that has 900,000 for > about 3,600 features (high cardinality). > > > Here is my model: > > model = SGDClassifier(loss='log',penalty=None,alpha=0.0, > > l1_ratio=0.0,fit_intercept=False,n_iter=1,shuffle=False,learning_rate='constant', > eta0=1.0) > > When I run the model.fit function, The program runs for about 5 minutes, > and I receive the message "the kernel has died" from Jupyter. > > Any idea what may cause that? Is my training data too big (in terms of > features)? Can I do anything (parameters) to finish training? > > Thanks in advance for your help! > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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