updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402446

docs/docs/algorithms.xml

@@ -132,6 +132,8 @@
                <item>rbf_network_trainer</item> 
                <item>train_probabilistic_decision_function</item> 
                <item>cross_validate_trainer</item> 
+               <item>test_trainer</item> 
+               <item>cross_validate_trainer_threaded</item> 
                <item>rank_features</item> 
                <item>reduced_decision_function_trainer</item> 
                <item>reduced</item> 
@@ -1215,6 +1217,37 @@
                                  
       </component>
       
+      
+   <!-- ************************************************************************* -->
+      
+      <component>
+         <name>test_trainer</name>
+         <file>dlib/svm.h</file>
+         <spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
+         <description>
+            Trains and tests the output <a href="#decision_function">decision_function</a> of a trainer object such
+               as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or <a href="#rbf_network_trainer">rbf_network_trainer</a>.  
+
+         </description>
+                                 
+      </component>
+      
+   <!-- ************************************************************************* -->
+      
+      
+      <component>
+         <name>cross_validate_trainer_threaded</name>
+         <file>dlib/svm_threaded.h</file>
+         <spec_file link="true">dlib/svm/svm_threaded_abstract.h</spec_file>
+         <description>
+               Performs k-fold cross validation on a user supplied trainer object such
+               as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or <a href="#rbf_network_trainer">rbf_network_trainer</a>.  This function does the same thing as <a href="#cross_validate_trainer">cross_validate_trainer</a>
+               except this function also allows you to specify how many threads of execution to use.
+               So you can use this function to take advantage of a multi-core system to perform
+               cross validation faster.
+         </description>
+      </component>
+      
    <!-- ************************************************************************* -->
       
       <component>

docs/docs/release_notes.xml

@@ -11,6 +11,19 @@
 <!-- *******************************************************************************  -->
 
 <current>
+New Stuff:
+
+Non-Backwards Compatible Changes:
+
+Bug fixes:
+
+Other:
+
+</current>
+
+<!-- *******************************************************************************  -->
+
+<old name="17.7" date="Jul 25, 2008">
 New Stuff:
    - Machine Learning
       - Added the ability to compare kcentroid objects to each other
@@ -46,7 +59,7 @@ Other:
    - Added an option to the cmake file to toggle the dlib stack trace macros
    - Made the library compile in Cygwin
 
-</current>
+</old>
 
 <!-- *******************************************************************************  -->
 

docs/docs/term_index.xml

@@ -399,6 +399,8 @@
          <term link="algorithms.html#reduced_decision_function_trainer2" name="reduced_decision_function_trainer2"/>
          <term link="algorithms.html#train_probabilistic_decision_function" name="train_probabilistic_decision_function"/>
          <term link="algorithms.html#cross_validate_trainer" name="cross_validate_trainer"/>
+         <term link="algorithms.html#cross_validate_trainer_threaded" name="cross_validate_trainer_threaded"/>
+         <term link="algorithms.html#test_trainer" name="test_trainer"/>
          <term link="algorithms.html#svm_nu_trainer" name="support vector machine"/>
          <term link="algorithms.html#vector" name="vector"/>
          <term link="algorithms.html#point" name="point"/>

docs/todo.txt

@@ -1,5 +1,14 @@
 
 
+maybe add a function to find the distance between two column vectors
+
+
+
+reader and directory capable of using std::vector
+
+
+
+
 move all the function bodies in widgets.h to cpp.
 
 Hide all windows header files in a cpp file.