DOC fix line references in tutorial

Author: jnothman

doc/tutorial/statistical_inference/model_selection.rst

@@ -213,7 +213,7 @@ appended to their name.
    **Bonus**: How much can you trust the selection of alpha?
 
    .. literalinclude:: ../../auto_examples/exercises/plot_cv_diabetes.py
-       :lines: 11-22
+       :lines: 17-24
 
    **Solution:** :ref:`example_exercises_plot_cv_diabetes.py`
 

doc/tutorial/statistical_inference/putting_together.rst

@@ -17,7 +17,7 @@ can predict variables. We can also create combined estimators:
    :align: right
 
 .. literalinclude:: ../../auto_examples/plot_digits_pipe.py
-    :lines: 24-67
+    :lines: 26-66
 
 
 

doc/tutorial/statistical_inference/supervised_learning.rst

@@ -567,6 +567,6 @@ creating a decision energy by positioning *kernels* on observations:
    intuitions.
 
    .. literalinclude:: ../../auto_examples/exercises/plot_iris_exercise.py
-       :lines: 15-22
+       :lines: 18-23
 
    Solution: :download:`../../auto_examples/exercises/plot_iris_exercise.py`

doc/tutorial/statistical_inference/unsupervised_learning.rst

@@ -183,7 +183,7 @@ clustering an image:
     :align: right
 
 .. literalinclude:: ../../auto_examples/cluster/plot_lena_ward_segmentation.py
-    :lines: 21-44
+    :lines: 21-45
 
 ..
     >>> from sklearn.feature_extraction.image import grid_to_graph

examples/exercises/plot_cv_diabetes.py

@@ -9,20 +9,18 @@
 :ref:`model_selection_tut` section of the :ref:`stat_learn_tut_index`.
 """
 from __future__ import print_function
+print(__doc__)
 
 import numpy as np
 import matplotlib.pyplot as plt
 
 from sklearn import cross_validation, datasets, linear_model
 
-print(__doc__)
-
 diabetes = datasets.load_diabetes()
 X = diabetes.data[:150]
 y = diabetes.target[:150]
 
 lasso = linear_model.Lasso()
-
 alphas = np.logspace(-4, -.5, 30)
 
 scores = list()