updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402373

docs/docs/algorithms.xml

@@ -118,6 +118,7 @@
                <item>svm_nu_train</item> 
                <item>svm_nu_train_prob</item> 
                <item>svm_nu_cross_validate</item> 
+               <item>rank_features</item> 
             </sub>
          </item>
          <item>randomize_samples</item> 
@@ -1015,6 +1016,25 @@
                                  
       </component>
       
+   <!-- ************************************************************************* -->
+      
+      <component>
+         <name>rank_features</name>
+         <file>dlib/svm.h</file>
+         <spec_file link="true">dlib/svm/feature_ranking_abstract.h</spec_file>
+         <description>
+             Finds a ranking of the top N (a user supplied parameter) features in a set of data 
+             from a two class classification problem.  It  
+              does this by computing the distance between the centroids of both classes in kernel defined 
+              feature space.  Good features are then ones that result in the biggest separation between
+              the two centroids. 
+         </description>
+         <examples>
+            <example>rank_features_ex.cpp.html</example>
+         </examples>
+                                 
+      </component>
+      
    <!-- ************************************************************************* -->
       
       <component>

docs/docs/main_menu.xml

@@ -107,6 +107,10 @@
                   <name>Image</name>
                   <link>image_ex.cpp.html</link>
                </item>
+               <item>
+                  <name>Rank_Features</name>
+                  <link>rank_features_ex.cpp.html</link>
+               </item>
                <item>
                   <name>Support_Vector_Machine</name>
                   <link>svm_ex.cpp.html</link>

docs/docs/term_index.xml

@@ -401,6 +401,7 @@
          <term link="algorithms.html#running_stats" name="running_stats"/>
          <term link="algorithms.html#kkmeans" name="kkmeans"/>
          <term link="algorithms.html#pick_initial_centers" name="pick_initial_centers"/>
+         <term link="algorithms.html#rank_features" name="rank_features"/>
 
          
          <term link="dlib/svm/svm_abstract.h.html#maximum_nu" name="maximum_nu"/>

docs/todo.txt

@@ -36,10 +36,6 @@ make htmlify work right on tempalte function calls
 
 
 
-mutual information based feature selection
-
-
-