Thanks for the answer. Not really. How can I do that? Sent from my iPhone
On Jun 2, 2017, at 12:51 PM, Iván Vallés Pérez <ivanvallespe...@gmail.com<mailto:ivanvallespe...@gmail.com>> wrote: 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<mailto: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<mailto:scikit-learn@python.org> https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org<mailto:scikit-learn@python.org> https://mail.python.org/mailman/listinfo/scikit-learn
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