[scikit-learn] Ipython Jupyter Kernel Dies when I fit an SGDClassifier
Iván Vallés Pérez
ivanvallesperez at gmail.com
Fri Jun 2 06:50:35 EDT 2017
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 <ay.j at 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,
> 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!
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> scikit-learn at python.org
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