updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403601

docs/docs/algorithms.xml

@@ -30,6 +30,7 @@
          <item>running_stats</item> 
          <item>running_covariance</item> 
          <item>random_subset_selector</item> 
+         <item>randomly_subsample</item> 
          <item nolink="true">
             <name>Quantum Computing</name>
             <sub>
@@ -332,6 +333,19 @@
       </component>
       
       
+   <!-- ************************************************************************* -->
+
+      <component>
+         <name>randomly_subsample</name>
+         <file>dlib/statistics.h</file>
+         <spec_file>dlib/statistics/random_subset_selector_abstract.h</spec_file>
+         <description>
+            This is a pair of convenience functions for 
+            creating <a href="#random_subset_selector">random subsets</a> of data.
+         </description>
+                                 
+      </component>
+      
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/main_menu.xml

@@ -123,6 +123,10 @@
                   <name>Empirical_Kernel_Map</name>
                   <link>empirical_kernel_map_ex.cpp.html</link>
                </item>
+               <item>
+                  <name>Linear_Manifold_Regularizer</name>
+                  <link>linear_manifold_regularizer_ex.cpp.html</link>
+               </item>
                <item>
                   <name>Kernel_RLS_Regression</name>
                   <link>krls_ex.cpp.html</link>

docs/docs/release_notes.xml

@@ -15,6 +15,8 @@ New Stuff:
    - Added the svm_c_ekm_trainer 
    - Added the sum_rows(), sum_cols(), join_rows(), join_cols(), reshape(), 
      and pointer_to_matrix() functions.
+   - Added the linear_manifold_regularizer and some supporting tools.
+   - Added the randomly_subsample() function.
 
 Non-Backwards Compatible Changes:
 

docs/docs/term_index.xml

@@ -111,6 +111,7 @@
          <term file="algorithms.html" name="running_stats"/>
          <term file="algorithms.html" name="running_covariance"/>
          <term file="algorithms.html" name="random_subset_selector"/>
+         <term file="algorithms.html" name="randomly_subsample"/>
 
          <term file="dlib/svm/pegasos_abstract.h.html" name="replicate_settings"/>
          <term file="ml.html" name="mlp"/>
@@ -121,6 +122,19 @@
          <term link="ml.html#mlp" name="neural network"/>
          <term file="ml.html" name="svm_pegasos"/>
          <term file="ml.html" name="empirical_kernel_map"/>
+
+         <term file="ml.html" name="sample_pair"/>
+         <term file="dlib/manifold_regularization/sample_pair_abstract.h.html" name="order_by_index"/>
+         <term file="dlib/manifold_regularization/sample_pair_abstract.h.html" name="order_by_distance"/>
+         <term file="ml.html" name="find_percent_shortest_edges_randomly"/>
+         <term file="ml.html" name="find_k_nearest_neighbors"/>
+         <term file="dlib/manifold_regularization/graph_creation_abstract.h.html" name="contains_duplicate_pairs"/>
+         <term file="dlib/manifold_regularization/graph_creation_abstract.h.html" name="max_index_value_plus_one"/>
+         <term file="ml.html" name="linear_manifold_regularizer"/>
+         <term file="ml.html" name="squared_euclidean_distance"/>
+         <term file="ml.html" name="use_weights_of_one"/>
+         <term file="ml.html" name="use_gaussian_weights"/>
+
          <term file="dlib/svm/empirical_kernel_map_abstract.h.html" name="empirical_kernel_map_error"/>
          <term file="dlib/svm/empirical_kernel_map_abstract.h.html" name="convert_to_decision_function"/>
          <term file="ml.html" name="kernel_matrix"/>