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

[Iván Vallés Pérez]

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,
>
> 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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