Commit 0e25de9c authored by Davis King's avatar Davis King

updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%404183
parent b9a1e0c9
...@@ -176,6 +176,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf" ...@@ -176,6 +176,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>probabilistic_function</item> <item>probabilistic_function</item>
<item>normalized_function</item> <item>normalized_function</item>
<item>one_vs_one_decision_function</item> <item>one_vs_one_decision_function</item>
<item>multiclass_linear_decision_function</item>
<item>one_vs_all_decision_function</item> <item>one_vs_all_decision_function</item>
</section> </section>
...@@ -1266,6 +1267,23 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf" ...@@ -1266,6 +1267,23 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component> </component>
<!-- ************************************************************************* -->
<component>
<name>multiclass_linear_decision_function</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/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. Additionally, this object is linear in the sense that
each of these binary classifiers is a simple linear plane.
</description>
</component>
<!-- ************************************************************************* --> <!-- ************************************************************************* -->
<component> <component>
......
...@@ -133,6 +133,7 @@ ...@@ -133,6 +133,7 @@
<term file="ml.html" name="one_vs_one_trainer"/> <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_one_decision_function"/>
<term file="ml.html" name="multiclass_linear_decision_function"/>
<term file="ml.html" name="one_vs_all_trainer"/> <term file="ml.html" name="one_vs_all_trainer"/>
<term file="ml.html" name="one_vs_all_decision_function"/> <term file="ml.html" name="one_vs_all_decision_function"/>
......
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