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Commit d11381b8 authored by Davis King's avatar Davis King
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updated docs 

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docs/docs/main_menu.xml
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...@@ -191,6 +191,10 @@ ...@@ -191,6 +191,10 @@
<name>Support_Vector_Machine</name> <name>Support_Vector_Machine</name>
<link>svm_ex.cpp.html</link> <link>svm_ex.cpp.html</link>
</item> </item>
<item>
<name>Multiclass_Classification</name>
<link>multiclass_classification_ex.cpp.html</link>
</item>
<item> <item>
<name>Model_Selection</name> <name>Model_Selection</name>
<link>model_selection_ex.cpp.html</link> <link>model_selection_ex.cpp.html</link>
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docs/docs/ml.xml
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...@@ -1143,6 +1143,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf" ...@@ -1143,6 +1143,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
one vs. one strategy. Therefore, if you have N classes then one vs. one strategy. Therefore, if you have N classes then
there will be N*(N-1)/2 binary classifiers inside this object. there will be N*(N-1)/2 binary classifiers inside this object.
</description> </description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component> </component>
...@@ -1159,6 +1162,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf" ...@@ -1159,6 +1162,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
classes then it trains N*(N-1)/2 binary classifiers which are then used classes then it trains N*(N-1)/2 binary classifiers which are then used
to vote on the identity of a test sample. to vote on the identity of a test sample.
</description> </description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component> </component>
...@@ -1745,6 +1751,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf" ...@@ -1745,6 +1751,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
Tests a multiclass decision function (e.g. <a href="#one_vs_one_decision_function">one_vs_one_decision_function</a>) Tests a multiclass decision function (e.g. <a href="#one_vs_one_decision_function">one_vs_one_decision_function</a>)
and returns a confusion matrix describing the results. and returns a confusion matrix describing the results.
</description> </description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component> </component>
...@@ -1793,6 +1802,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf" ...@@ -1793,6 +1802,9 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
as the <a href="#one_vs_one_trainer">one_vs_one_trainer</a>. The result is described by a as the <a href="#one_vs_one_trainer">one_vs_one_trainer</a>. The result is described by a
confusion matrix. confusion matrix.
</description> </description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component> </component>
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