DOC example rendering

arjoly · arjoly · commit faba87544a7d · 2014-03-24T11:00:32.000+01:00
diff --git a/sklearn/pipeline.py b/sklearn/pipeline.py
@@ -53,23 +53,19 @@ class Pipeline(BaseEstimator):
     >>> from sklearn.feature_selection import SelectKBest
     >>> from sklearn.feature_selection import f_regression
     >>> from sklearn.pipeline import Pipeline
-
     >>> # generate some data to play with
     >>> X, y = samples_generator.make_classification(
     ...     n_informative=5, n_redundant=0, random_state=42)
-
     >>> # ANOVA SVM-C
     >>> anova_filter = SelectKBest(f_regression, k=5)
     >>> clf = svm.SVC(kernel='linear')
     >>> anova_svm = Pipeline([('anova', anova_filter), ('svc', clf)])
-
     >>> # You can set the parameters using the names issued
     >>> # For instance, fit using a k of 10 in the SelectKBest
     >>> # and a parameter 'C' of the svm
     >>> anova_svm.set_params(anova__k=10, svc__C=.1).fit(X, y)
     ...                                              # doctest: +ELLIPSIS
     Pipeline(steps=[...])
-
     >>> prediction = anova_svm.predict(X)
     >>> anova_svm.score(X, y)                        # doctest: +ELLIPSIS
     0.77...
