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!
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