scikit-learn

Download

scikit-learn@python.org

June 2017

34 participants
22 discussions

Cross-validation & cross-testing
by Rain Vagel June 5, 2017

June 5, 2017

Hey, I am a bachelor’s student and for my thesis I implemented a cross-testing function in a scikit-learn compatible way and published it on Github. The paper on which I based my own thesis can be found here: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161788 <http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161788>. My project can be found here: https://github.com/RainVagel/cross-val-cross-test <https://github.com/RainVagel/cross-val-cross-test>. Our original plan was to try and get the algorithm into scikit-learn, but it doesn’t meet the requirements yet. So instead we thought about maybe having it listed in the “Related Projects” page. Is it possible for somebody to take a look and give any feedback? Sincerely, Rain

3 3

Ipython Jupyter Kernel Dies when I fit an SGDClassifier
by Aymen J June 3, 2017

June 3, 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, 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!

5 5