This looks good. Maybe we could reintroduce a canonical snippet on the home page:
>>> from sklearn.datasets import load_digits >>> from sklearn.cross_validation import train_test_split >>> from sklearn.svm import LinearSVC >>> digits = load_digits() >>> X_train, X_test, y_train, y_test = train_test_split( ... digits.data, digits.target, random_state=42) ... >>> LinearSVC().fit(X_train, y_train).score(X_test, y_test) 0.966... And then a link to the short tutorial. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
