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updated docs 

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extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403678
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Davis King 2010-06-07 01:13:26 +00:00
parent 0d148fea23
commit 51f8777e69
2 changed files with 20 additions and 0 deletions
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19
docs/docs/ml.xml
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@ -136,6 +136,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>vector_normalizer</item> <item>vector_normalizer</item>
<item>vector_normalizer_pca</item> <item>vector_normalizer_pca</item>
<item>discriminant_pca</item> <item>discriminant_pca</item>
<item>fill_lisf</item>
<item>randomize_samples</item> <item>randomize_samples</item>
<item>is_binary_classification_problem</item> <item>is_binary_classification_problem</item>
<item>test_binary_decision_function</item> <item>test_binary_decision_function</item>
@ -607,6 +608,24 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component> </component>
<!-- ************************************************************************* -->
<component>
<name>fill_lisf</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/linearly_independent_subset_finder_abstract.h</spec_file>
<description>
This is a simple function for filling a
<a href="#linearly_independent_subset_finder">linearly_independent_subset_finder</a>
with data points by using random sampling.
</description>
<examples>
<example>empirical_kernel_map_ex.cpp.html</example>
</examples>
</component>
<!-- ************************************************************************* --> <!-- ************************************************************************* -->
<component> <component>

1
docs/docs/term_index.xml
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@ -170,6 +170,7 @@
<term file="ml.html" name="krls"/> <term file="ml.html" name="krls"/>
<term file="ml.html" name="kcentroid"/> <term file="ml.html" name="kcentroid"/>
<term file="ml.html" name="linearly_independent_subset_finder"/> <term file="ml.html" name="linearly_independent_subset_finder"/>
<term file="ml.html" name="fill_lisf"/>
<term file="ml.html" name="vector_normalizer"/> <term file="ml.html" name="vector_normalizer"/>
<term file="ml.html" name="vector_normalizer_pca"/> <term file="ml.html" name="vector_normalizer_pca"/>
<term file="ml.html" name="discriminant_pca"/> <term file="ml.html" name="discriminant_pca"/>