DOC Fix references to missing examples

Author: jaquesgrobler

sklearn/cluster/affinity_propagation_.py

@@ -220,7 +220,7 @@ class AffinityPropagation(BaseEstimator, ClusterMixin):
 
     Notes
     -----
-    See examples/plot_affinity_propagation.py for an example.
+    See examples/cluster/plot_affinity_propagation.py for an example.
 
     The algorithmic complexity of affinity propagation is quadratic
     in the number of points.

sklearn/cluster/dbscan_.py

@@ -50,7 +50,7 @@ def dbscan(X, eps=0.5, min_samples=5, metric='euclidean',
 
     Notes
     -----
-    See examples/plot_dbscan.py for an example.
+    See examples/cluster/plot_cluster_comparison.py for an example.
 
     References
     ----------
@@ -147,7 +147,7 @@ class DBSCAN(BaseEstimator, ClusterMixin):
 
     Notes
     -----
-    See examples/plot_dbscan.py for an example.
+    See examples/cluster/plot_cluster_comparison.py for an example.
 
     References
     ----------

sklearn/cluster/mean_shift_.py

@@ -93,7 +93,7 @@ def mean_shift(X, bandwidth=None, seeds=None, bin_seeding=False,
 
     Notes
     -----
-    See examples/plot_meanshift.py for an example.
+    See examples/cluster/plot_meanshift.py for an example.
 
     """
     if bandwidth is None:

sklearn/linear_model/coordinate_descent.py

@@ -578,7 +578,7 @@ def lasso_path(X, y, eps=1e-3, n_alphas=100, alphas=None,
 
     Notes
     -----
-    See examples/linear_model/plot_lasso_coordinate_descent_path.py
+    See examples/linear_model/plot_lasso_model_selection.py
     for an example.
 
     To avoid unnecessary memory duplication the X argument of the fit method
@@ -696,7 +696,8 @@ def enet_path(X, y, l1_ratio=0.5, eps=1e-3, n_alphas=100, alphas=None,
 
     Notes
     -----
-    See examples/plot_lasso_coordinate_descent_path.py for an example.
+    See examples/linear_model/plot_lasso_coordinate_descent_path.py
+    for an example.
 
     See also
     --------
@@ -1050,7 +1051,7 @@ class LassoCV(LinearModelCV, RegressorMixin):
 
     Notes
     -----
-    See examples/linear_model/lasso_path_with_crossvalidation.py
+    See examples/linear_model/plot_lasso_model_selection.py
     for an example.
 
     To avoid unnecessary memory duplication the X argument of the fit method
@@ -1156,7 +1157,7 @@ class ElasticNetCV(LinearModelCV, RegressorMixin):
 
     Notes
     -----
-    See examples/linear_model/lasso_path_with_crossvalidation.py
+    See examples/linear_model/plot_lasso_model_selection.py
     for an example.
 
     To avoid unnecessary memory duplication the X argument of the fit method

sklearn/linear_model/randomized_l1.py

@@ -437,7 +437,7 @@ class RandomizedLogisticRegression(BaseRandomizedLinearModel):
 
     Notes
     -----
-    See examples/linear_model/plot_randomized_lasso.py for an example.
+    See examples/linear_model/plot_sparse_recovery.py for an example.
 
     References
     ----------
@@ -565,7 +565,7 @@ def lasso_stability_path(X, y, scaling=0.5, random_state=None,
 
     Notes
     -----
-    See examples/linear_model/plot_randomized_lasso.py for an example.
+    See examples/linear_model/plot_sparse_recovery.py for an example.
     """
     rng = check_random_state(random_state)