Commit 2101de17 authored by Davis King's avatar Davis King

updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403574
parent 486c4ff7
......@@ -71,6 +71,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>kkmeans</item>
<item>svm_nu_trainer</item>
<item>svm_c_linear_trainer</item>
<item>svm_c_ekm_trainer</item>
<item>rvm_trainer</item>
<item>rvm_regression_trainer</item>
<item>rbf_network_trainer</item>
......@@ -651,6 +652,26 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>svm_c_ekm_trainer</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/svm_c_ekm_trainer_abstract.h</spec_file>
<description>
This object represents a tool for training the C formulation of
a support vector machine. It is implemented using the <a href="#empirical_kernel_map">empirical_kernel_map</a>
to kernelize the <a href="#svm_c_linear_trainer">svm_c_linear_trainer</a>. This makes it a very fast algorithm
but means the user must supply a set of basis vectors.
<p>
For details about the "basis vectors" see the empirical_kernel_map
documentation. In particular, see it's <a href="empirical_kernel_map_ex.cpp.html">example program</a>.
</p>
</description>
</component>
<!-- ************************************************************************* -->
<component>
......
......@@ -12,6 +12,7 @@
<current>
New Stuff:
- Added the svm_c_ekm_trainer
Non-Backwards Compatible Changes:
......
......@@ -133,6 +133,7 @@
<term file="ml.html" name="is_binary_classification_problem"/>
<term file="ml.html" name="svm_nu_trainer"/>
<term file="ml.html" name="svm_c_linear_trainer"/>
<term file="ml.html" name="svm_c_ekm_trainer"/>
<term file="ml.html" name="rvm_trainer"/>
<term file="ml.html" name="rvm_regression_trainer"/>
<term file="ml.html" name="rbf_network_trainer"/>
......
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