[scikit-learn] Ipython Jupyter Kernel Dies when I fit an SGDClassifier
ay.j at hotmail.fr
Thu Jun 1 13:09:19 EDT 2017
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!
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the scikit-learn