more examples references

Author: Titan-C

sklearn/learning_curve.py

@@ -118,7 +118,7 @@ def learning_curve(estimator, X, y, train_sizes=np.linspace(0.1, 1.0, 5),
     Notes
     -----
     See :ref:`examples/model_selection/plot_learning_curve.py
-    <example_model_selection_plot_learning_curve.py>`
+    <sphx_glr_auto_examples_model_selection_plot_learning_curve.py>`
     """
     if exploit_incremental_learning and not hasattr(estimator, "partial_fit"):
         raise ValueError("An estimator must support the partial_fit interface "
@@ -324,7 +324,7 @@ def validation_curve(estimator, X, y, param_name, param_range, cv=None,
     -----
     See
     :ref:`examples/model_selection/plot_validation_curve.py
-    <example_model_selection_plot_validation_curve.py>`
+    <sphx_glr_auto_examples_model_selection_plot_validation_curve.py>`
     """
     X, y = indexable(X, y)
     cv = check_cv(cv, X, y, classifier=is_classifier(estimator))

sklearn/model_selection/_validation.py

@@ -744,7 +744,7 @@ def learning_curve(estimator, X, y, labels=None,
     Notes
     -----
     See :ref:`examples/model_selection/plot_learning_curve.py
-    <example_model_selection_plot_learning_curve.py>`
+    <sphx_glr_auto_examples_model_selection_plot_learning_curve.py>`
     """
     if exploit_incremental_learning and not hasattr(estimator, "partial_fit"):
         raise ValueError("An estimator must support the partial_fit interface "
@@ -949,7 +949,7 @@ def validation_curve(estimator, X, y, param_name, param_range, labels=None,
     -----
     See
     :ref:`examples/model_selection/plot_validation_curve.py
-    <example_model_selection_plot_validation_curve.py>`
+    <sphx_glr_auto_examples_model_selection_plot_validation_curve.py>`
     """
     X, y, labels = indexable(X, y, labels)
 

sklearn/preprocessing/data.py

@@ -1173,7 +1173,7 @@ class PolynomialFeatures(BaseEstimator, TransformerMixin):
     exponentially in the degree. High degrees can cause overfitting.
 
     See :ref:`examples/linear_model/plot_polynomial_interpolation.py
-    <example_linear_model_plot_polynomial_interpolation.py>`
+    <sphx_glr_auto_examples_linear_model_plot_polynomial_interpolation.py>`
     """
     def __init__(self, degree=2, interaction_only=False, include_bias=True):
         self.degree = degree