[scikit-learn] Ipython Jupyter Kernel Dies when I fit an SGDClassifier

Aymen J ay.j at hotmail.fr
Thu Jun 1 13:09:19 EDT 2017

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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