Remove fetch doctest in pipeline

Author: Guillaume Lemaitre

imblearn/pipeline.py

@@ -56,17 +56,19 @@ class Pipeline(pipeline.Pipeline):
  --------
 
  >>> from collections import Counter
- >>> from sklearn.datasets import fetch_mldata
+ >>> from sklearn.datasets import make_classification
  >>> from sklearn.cross_validation import train_test_split as tts
  >>> from sklearn.decomposition import PCA
  >>> from sklearn.neighbors import KNeighborsClassifier as KNN
  >>> from sklearn.metrics import classification_report
  >>> from imblearn.over_sampling import SMOTE
  >>> from imblearn.pipeline import Pipeline
- >>> pima = fetch_mldata('diabetes_scale')
- >>> X, y = pima['data'], pima['target']
+ >>> X, y = make_classification(n_classes=2, class_sep=2, weights=[0.1, 0.9],
+ ... n_informative=3, n_redundant=1, flip_y=0,
+ ... n_features=20, n_clusters_per_class=1,
+ ... n_samples=1000, random_state=10)
  >>> print('Original dataset shape {}'.format(Counter(y)))
- Original dataset shape Counter({1: 500, -1: 268})
+ Original dataset shape Counter({1: 900, 0: 100})
  >>> pca = PCA()
  >>> smt = SMOTE(random_state=42)
  >>> knn = KNN()
@@ -81,10 +83,10 @@ class Pipeline(pipeline.Pipeline):
  >>> print(classification_report(y_test, y_hat))
  precision recall f1-score support
  <BLANKLINE>
- -1  0.49 0.67 0.56 69
- 1 0.77 0.61 0.68 123
+  0  0.71 1.00 0.83 24
+ 1 1.00 0.96 0.98 226
  <BLANKLINE>
- avg / total 0.67 0.63 0.64 192
+ avg / total 0.97 0.96 0.96 250
  <BLANKLINE>
 
  """