updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%404026

docs/docs/ml.xml

@@ -77,6 +77,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
          <item>svm_c_ekm_trainer</item> 
          <item>rvm_trainer</item> 
          <item>krr_trainer</item> 
+         <item>svr_trainer</item> 
          <item>rvm_regression_trainer</item> 
          <item>rbf_network_trainer</item> 
          <item>rank_features</item> 
@@ -919,6 +920,28 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
                                  
       </component>
       
+   <!-- ************************************************************************* -->
+
+      <component>
+         <name>svr_trainer</name>
+         <file>dlib/svm.h</file>
+         <spec_file link="true">dlib/svm/svr_trainer_abstract.h</spec_file>
+         <description>
+            <p>
+                This object implements a trainer for performing epsilon-insensitive support 
+                vector regression.  It is implemented using the <a href="optimization.html#solve_qp3_using_smo">SMO</a> algorithm.
+            </p>
+                The implementation of the eps-SVR training algorithm used by this object is based
+                on the following paper:
+               <ul>
+                  <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector 
+                     machines, 2001. Software available at 
+                     <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li>
+               </ul>
+         </description>
+                                 
+      </component>
+      
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/term_index.xml

@@ -172,6 +172,7 @@
          <term file="ml.html" name="svm_c_ekm_trainer"/>
          <term file="ml.html" name="rvm_trainer"/>
          <term file="ml.html" name="krr_trainer"/>
+         <term file="ml.html" name="svr_trainer"/>
          <term file="ml.html" name="rvm_regression_trainer"/>
          <term file="ml.html" name="rbf_network_trainer"/>
          <term file="ml.html" name="reduced"/>
@@ -185,6 +186,7 @@
          <term link="ml.html#svm_nu_trainer" name="support vector machine"/>
          <term link="ml.html#rvm_trainer" name="relevance vector machine"/>
          <term link="ml.html#krr_trainer" name="kernel ridge regression"/>
+         <term link="ml.html#svr_trainer" name="support vector regression"/>
          <term link="ml.html#krr_trainer" name="regularized least squares"/>
          <term link="ml.html#krr_trainer" name="least squares SVM"/>
          <term file="ml.html" name="krls"/>