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Davis King 2010-12-31 16:25:08 +00:00
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34
docs/docs/ml.xml
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@ -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>

2
docs/docs/term_index.xml
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@ -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"/>