diff --git a/docs/docs/ml.xml b/docs/docs/ml.xml
index 077ce37bd..c046f12b5 100644
--- a/docs/docs/ml.xml
+++ b/docs/docs/ml.xml
@@ -83,6 +83,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
          <item>rank_features</item> 
          <item>svm_pegasos</item> 
          <item>one_vs_one_trainer</item> 
+         <item>one_vs_all_trainer</item> 
       </section>
 
       <section>
@@ -121,6 +122,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
          <item>probabilistic_decision_function</item>
          <item>normalized_function</item>
          <item>one_vs_one_decision_function</item>
+         <item>one_vs_all_decision_function</item>
       </section>
 
       <section>
@@ -1175,6 +1177,38 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
                                  
       </component>
       
+   <!-- ************************************************************************* -->
+      
+      <component>
+         <name>one_vs_all_decision_function</name>
+         <file>dlib/svm.h</file>
+         <spec_file link="true">dlib/svm/one_vs_all_decision_function_abstract.h</spec_file>
+         <description>
+                This object represents a multiclass classifier built out
+                of a set of binary classifiers.  Each binary classifier
+                is used to vote for the correct multiclass label using a 
+                one vs. all strategy.  Therefore, if you have N classes then
+                there will be N binary classifiers inside this object.
+         </description>
+                                 
+      </component>
+      
+   <!-- ************************************************************************* -->
+      
+      <component>
+         <name>one_vs_all_trainer</name>
+         <file>dlib/svm.h</file>
+         <spec_file link="true">dlib/svm/one_vs_all_trainer_abstract.h</spec_file>
+         <description>
+                This object is a tool for turning a bunch of binary classifiers
+                into a multiclass classifier.  It does this by training the binary
+                classifiers in a one vs. all fashion.  That is, if you have N possible
+                classes then it trains N binary classifiers which are then used
+                to vote on the identity of a test sample.
+         </description>
+                                 
+      </component>
+      
    <!-- ************************************************************************* -->
       
       <component>
diff --git a/docs/docs/term_index.xml b/docs/docs/term_index.xml
index a608bea66..a91dc24d9 100644
--- a/docs/docs/term_index.xml
+++ b/docs/docs/term_index.xml
@@ -131,6 +131,8 @@
 
          <term file="ml.html" name="one_vs_one_trainer"/>
          <term file="ml.html" name="one_vs_one_decision_function"/>
+         <term file="ml.html" name="one_vs_all_trainer"/>
+         <term file="ml.html" name="one_vs_all_decision_function"/>
 
          <term file="dlib/svm/pegasos_abstract.h.html" name="replicate_settings"/>
          <term file="ml.html" name="mlp"/>