Commit 4ecaa575 authored by Davis King's avatar Davis King

updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%404065
parent df24f5a4
......@@ -135,8 +135,10 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>cross_validate_trainer</item>
<item>cross_validate_trainer_threaded</item>
<item>cross_validate_multiclass_trainer</item>
<item>cross_validate_regression_trainer</item>
<item>test_binary_decision_function</item>
<item>test_multiclass_decision_function</item>
<item>test_regression_function</item>
</section>
<section>
......@@ -1815,6 +1817,35 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>cross_validate_regression_trainer</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/cross_validate_regression_trainer_abstract.h</spec_file>
<description>
Performs k-fold cross validation on a user supplied regression trainer object such
as the <a href="#svr_trainer">svr_trainer</a> and returns the mean squared error.
</description>
<examples>
<example>svr_ex.cpp.html</example>
</examples>
</component>
<!-- ************************************************************************* -->
<component>
<name>test_regression_function</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/cross_validate_regression_trainer_abstract.h</spec_file>
<description>
Tests a regression function (e.g. <a href="#decision_function">decision_function</a>)
and returns the mean squared error.
</description>
</component>
<!-- ************************************************************************* -->
</components>
......
......@@ -189,8 +189,10 @@
<term file="ml.html" name="cross_validate_trainer"/>
<term file="ml.html" name="cross_validate_trainer_threaded"/>
<term file="ml.html" name="cross_validate_multiclass_trainer"/>
<term file="ml.html" name="cross_validate_regression_trainer"/>
<term file="ml.html" name="test_binary_decision_function"/>
<term file="ml.html" name="test_multiclass_decision_function"/>
<term file="ml.html" name="test_regression_function"/>
<term link="ml.html#svm_nu_trainer" name="support vector machine"/>
<term link="ml.html#rvm_trainer" name="relevance vector machine"/>
<term link="ml.html#krr_trainer" name="kernel ridge regression"/>
......
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