Commit 6ad915f5 authored by Davis King's avatar Davis King

updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%404023
parent 2ae7bd31
......@@ -143,6 +143,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>sort_basis_vectors</item>
<item>randomize_samples</item>
<item>is_binary_classification_problem</item>
<item>is_learning_problem</item>
<item>test_binary_decision_function</item>
<item>cross_validate_trainer</item>
<item>cross_validate_trainer_threaded</item>
......@@ -1261,6 +1262,21 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>is_learning_problem</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
<description>
This function simply takes two vectors, the first containing feature vectors and
the second containing labels, and reports back if the two could possibly
contain data for a well formed learning problem. In this case it just means
that the two vectors have the same length and aren't empty.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......
......@@ -164,6 +164,7 @@
<term file="ml.html" name="randomize_samples"/>
<term file="ml.html" name="simplify_linear_decision_function"/>
<term file="ml.html" name="is_binary_classification_problem"/>
<term file="ml.html" name="is_learning_problem"/>
<term file="ml.html" name="svm_nu_trainer"/>
<term file="ml.html" name="svm_c_trainer"/>
<term file="ml.html" name="svm_one_class_trainer"/>
......
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