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updated docs

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Davis King 2010-12-30 19:03:03 +00:00
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4
docs/docs/main_menu.xml
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@ -191,6 +191,10 @@
<name>Support_Vector_Machine</name>
<link>svm_ex.cpp.html</link>
</item>
<item>
<name>Multiclass_Classification</name>
<link>multiclass_classification_ex.cpp.html</link>
</item>
<item>
<name>Model_Selection</name>
<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"
one vs. one strategy. Therefore, if you have N classes then
there will be N*(N-1)/2 binary classifiers inside this object.
</description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component>
@ -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
to vote on the identity of a test sample.
</description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component>
@ -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>)
and returns a confusion matrix describing the results.
</description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component>
@ -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
confusion matrix.
</description>
<examples>
<example>multiclass_classification_ex.cpp.html</example>
</examples>
</component>