updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%404074

docs/docs/ml.xml

@@ -120,6 +120,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
          <item>projection_function</item>
          <item>distance_function</item>
          <item>probabilistic_decision_function</item>
+         <item>probabilistic_function</item>
          <item>normalized_function</item>
          <item>one_vs_one_decision_function</item>
          <item>one_vs_all_decision_function</item>
@@ -816,8 +817,8 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
          <spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
          <description>
             <p>
-               Trains a <a href="#probabilistic_decision_function">probabilistic_decision_function</a> using 
-               some sort of batch trainer object such as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or
+               Trains a <a href="#probabilistic_function">probabilistic_function</a> using 
+               some sort of binary classification trainer object such as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or
                <a href="#krr_trainer">krr_trainer</a>.
             </p>
             The probability model is created by using the technique described in the following papers:
@@ -1106,6 +1107,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
                                  
       </component>
       
+   <!-- ************************************************************************* -->
+
+      <component>
+         <name>probabilistic_function</name>
+         <file>dlib/svm.h</file>
+         <spec_file link="true">dlib/svm/function_abstract.h</spec_file>
+         <description>
+                This object represents a binary decision function for use with
+                any kind of binary classifier.  It returns an 
+                estimate of the probability that a given sample is in the +1 class. 
+         </description>
+      </component>
+      
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/term_index.xml

@@ -229,6 +229,7 @@
          <term file="ml.html" name="normalized_function"/>
          <term file="ml.html" name="distance_function"/>
          <term file="ml.html" name="probabilistic_decision_function"/>
+         <term file="ml.html" name="probabilistic_function"/>
          <term file="ml.html" name="linear_kernel"/>
          <term file="ml.html" name="offset_kernel"/>
          <term file="ml.html" name="polynomial_kernel"/>