updated the docs

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Davis King 2008-07-25 03:41:46 +00:00
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<description>
<p>
Trains a <a href="#probabilistic_decision_function">probabilistic_decision_function</a> using
some sort of trainer object such as the <a href="#svm_nu_trainer">svm_nu_trainer</a>.
some sort of trainer object such as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or
<a href="#rbf_network_trainer">rbf_network_trainer</a>.
</p>
The probability model is created by using the technique described in the paper:
<blockquote>
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<a href="#reduced_decision_function_trainer2">reduced_decision_function_trainer2</a>
objects.
</description>
<examples>
<example>svm_ex.cpp.html</example>
</examples>
</component>
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to further improve the results.
</p>
</description>
<examples>
<example>svm_ex.cpp.html</example>
</examples>
</component>
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<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
<description>
Performs k-fold cross validation on a user supplied trainer object such
as the <a href="#svm_nu_trainer">svm_nu_trainer</a>.
as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or <a href="#rbf_network_trainer">rbf_network_trainer</a>.
</description>
<examples>
<example>svm_ex.cpp.html</example>