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<div>Thanks for the answer. Not really. How can I do that?<br>
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Sent from my iPhone</div>
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On Jun 2, 2017, at 12:51 PM, Iván Vallés Pérez <<a href="mailto:ivanvallesperez@gmail.com">ivanvallesperez@gmail.com</a>> wrote:<br>
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<div>Are you monitoring your RAM memory consumption? I would say that it is the cause of the majority of the kernel crashes
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<div dir="ltr">El El vie, 2 jun 2017 a las 12:45, Aymen J <<a href="mailto:ay.j@hotmail.fr">ay.j@hotmail.fr</a>> escribió:<br>
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<p>Hey Guys,</p>
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<p>So I'm trying to fit an SGD classifier on a dataset that has 900,000 for about 3,600 features (high cardinality).</p>
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<p>Here is my model:</p>
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<div>model = SGDClassifier(loss='log',penalty=None,alpha=0.0,</div>
<div> l1_ratio=0.0,fit_intercept=False,n_iter=1,shuffle=False,learning_rate='constant',</div>
<div> eta0=1.0)</div>
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<div>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.</div>
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<div>Any idea what may cause that? Is my training data too big (in terms of features)? Can I do anything (parameters) to finish training?</div>
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Thanks in advance for your help!</div>
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