Extra missing links complained by sphinx

Author: Titan-C

doc/modules/clustering.rst

@@ -615,7 +615,7 @@ merging to nearest neighbors as in :ref:`this example
 <sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py>`, or
 using :func:`sklearn.feature_extraction.image.grid_to_graph` to
 enable only merging of neighboring pixels on an image, as in the
-:ref:`raccoon face <sphx_glr_example_cluster_plot_face_ward_segmentation.py>` example.
+:ref:`raccoon face <sphx_glr_auto_examples_cluster_plot_face_ward_segmentation.py>` example.
 
 .. topic:: Examples:
 

doc/modules/linear_model.rst

@@ -745,6 +745,7 @@ Small dataset or L1 penalty        "liblinear"
 Multinomial loss or large dataset  "lbfgs", "sag" or "newton-cg"
 Very Large dataset                 "sag"
 =================================  =============================
+
 For large dataset, you may also consider using :class:`SGDClassifier` with 'log' loss.
 
 .. topic:: Examples:
@@ -1079,8 +1080,8 @@ lesser than a certain threshold. It differs from :class:`TheilSenRegressor`
 and :class:`RANSACRegressor` because it does not ignore the effect of the outliers
 but gives a lesser weight to them.
 
-.. figure:: ../auto_examples/linear_model/images/plot_huber_vs_ridge_001.png
-   :target: ../auto_examples/linear_model/plot_huber_vs_ridge.html
+.. figure:: /auto_examples/linear_model/images/sphx_glr_plot_huber_vs_ridge_001.png
+   :target: /auto_examples/linear_model/plot_huber_vs_ridge.html
    :align: center
    :scale: 50%
 

doc/modules/mixture.rst

@@ -62,7 +62,7 @@ full covariance.
 
 .. topic:: Examples:
 
-    * See :ref:`sphx_glr_example_mixture_plot_gmm_covariances.py` for an example of
+    * See :ref:`sphx_glr_auto_examples_mixture_plot_gmm_covariances.py` for an example of
       using the Gaussian mixture as clustering on the iris dataset.
 
     * See :ref:`sphx_glr_auto_examples_mixture_plot_gmm_pdf.py` for an example on plotting the

doc/modules/neural_networks_supervised.rst

@@ -160,8 +160,8 @@ See the examples below and the doc string of
 
 .. topic:: Examples:
 
- * :ref:`sphx_glr_examples_neural_networks_plot_mlp_training_curves.py`
- * :ref:`sphx_glr_examples_neural_networks_plot_mnist_filters.py`
+ * :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py`
+ * :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py`
 
 Regression
 ==========
@@ -183,7 +183,7 @@ for regularization (L2 regularization) term which helps in avoiding overfitting
 by penalizing weights with large magnitudes. Following plot displays varying
 decision function with value of alpha.
 
-.. figure:: ../auto_examples/neural_networks/images/plot_mlp_alpha_001.png
+.. figure:: ../auto_examples/neural_networks/images/sphx_glr_plot_mlp_alpha_001.png
    :target: ../auto_examples/neural_networks/plot_mlp_alpha.html
    :align: center
    :scale: 75

doc/themes/scikit-learn/layout.html

@@ -137,13 +137,13 @@
 		<!-- Carousel items -->
 		<div class="carousel-inner">
 		  <div class="active item">
-		    <a href="{{ pathto('auto_examples/classification/plot_classifier_comparison') }}">
+		    <a href="{{pathto('auto_examples/classification/plot_classifier_comparison') }}">
 		      <div class="crop-wrapper" style="width: 380px; height: 190px; overflow: hidden">
 			<img src="_images/sphx_glr_plot_classifier_comparison_001_carousel.png"
 			     style="max-height: 200px; max-width: 629px; margin-left: -21px;"></div></a>
 		  </div>
 		  <div class="item">
-		    <a href="auto_examples/covariance/plot_outlier_detection.html">
+		    <a href="{{pathto('auto_examples/covariance/plot_outlier_detection.html') }}">
 		      <img src="_images/sphx_glr_plot_outlier_detection_003_carousel.png"></a>
 		  </div>
 		  <div class="item">
@@ -164,7 +164,7 @@
 		  </div>
 		  <div class="item">
 		    <a href="{{pathto('auto_examples/gaussian_process/plot_gpr_co2') }}">
-		      <img src="_images/sphx_glr_plot_gpr_co2_carousel.png"></a>
+		      <img src="_images/sphx_glr_plot_gpr_co2_001_carousel.png"></a>
 		  </div>
 		  <div class="item">
 		    <a href="{{ pathto('auto_examples/manifold/plot_compare_methods') }}">
@@ -176,7 +176,7 @@
 		  </div>
 		  <div class="item">
 		    <a href="{{ pathto('auto_examples/cluster/plot_face_ward_segmentation') }}">
-		      <img src="_images/sphx_glr_plot_face_ward_segmentation.png"></a>
+		      <img src="_images/sphx_glr_plot_face_ward_segmentation_thumb.png"></a>
 		  </div>
 		</div>
 		<!-- Carousel nav -->

examples/feature_selection/plot_rfe_digits.py

@@ -33,4 +33,4 @@
 plt.matshow(ranking, cmap=plt.cm.Blues)
 plt.colorbar()
 plt.title("Ranking of pixels with RFE")
-plt.show()
+plt.show()

sklearn/model_selection/_validation.py

@@ -947,9 +947,8 @@ def validation_curve(estimator, X, y, param_name, param_range, labels=None,
 
     Notes
     -----
-    See
-    :ref:`examples/model_selection/plot_validation_curve.py
-    <sphx_glr_auto_examples_model_selection_plot_validation_curve.py>`
+    See :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py`
+
     """
     X, y, labels = indexable(X, y, labels)