diff --git a/scikits/learn/utils/crossval.py b/scikits/learn/utils/crossval.py index 2d3bbd8e391231581c1083f1c0beacb0e0d04dd9..e8749dee78b59497bcb10da52ee7e72d8d3aed4b 100644 --- a/scikits/learn/utils/crossval.py +++ b/scikits/learn/utils/crossval.py @@ -19,16 +19,16 @@ def leave_one_out(n): Examples ======== - - >>> import numpy as np - >>> from scikits.learn.utils import crossval - >>> n_samples, n_features = 5, 10 - >>> X = np.random.randn(n_samples, n_features) - >>> loo = crossval.leave_one_out(n_samples) - >>> for train_index, test_index in loo: - ... print "TRAIN:", train_index, "TEST:", test_index - ... Xtrain, Xtest, Ytrain, Ytest = split(train_index, test_index, X, y) - ... print Xtrain, Xtest, Ytrain, Ytest + # commented doctest, see issue #34 + # >>> import numpy as np + # >>> from scikits.learn.utils import crossval + # >>> n_samples, n_features = 5, 10 + # >>> X = np.random.randn(n_samples, n_features) + # >>> loo = crossval.leave_one_out(n_samples) + # >>> for train_index, test_index in loo: + # ... print "TRAIN:", train_index, "TEST:", test_index + # ... Xtrain, Xtest, Ytrain, Ytest = split(train_index, test_index, X, y) + # ... print Xtrain, Xtest, Ytrain, Ytest """ for i in xrange(n): test_index = np.zeros(n, dtype=np.bool)