Commit 324148c9 authored by Davis King's avatar Davis King

updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402559
parent fa5aefdb
...@@ -28,6 +28,7 @@ ...@@ -28,6 +28,7 @@
<item>crc32</item> <item>crc32</item>
<item>rand</item> <item>rand</item>
<item>running_stats</item> <item>running_stats</item>
<item>vector_normalizer</item>
<item>mlp</item> <item>mlp</item>
<item nolink="true"> <item nolink="true">
<name>Optimization</name> <name>Optimization</name>
...@@ -121,6 +122,7 @@ ...@@ -121,6 +122,7 @@
<item>decision_function</item> <item>decision_function</item>
<item>distance_function</item> <item>distance_function</item>
<item>probabilistic_decision_function</item> <item>probabilistic_decision_function</item>
<item>normalized_function</item>
</sub> </sub>
</item> </item>
<item>pick_initial_centers</item> <item>pick_initial_centers</item>
...@@ -857,6 +859,28 @@ ...@@ -857,6 +859,28 @@
<!-- ************************************************************************* --> <!-- ************************************************************************* -->
<component>
<name>vector_normalizer</name>
<file>dlib/statistics.h</file>
<spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file>
<description>
This object represents something that can learn to normalize a set
of vectors. In particular, normalized vectors should have zero
mean and a variance of one.
Also, if desired, this object can also use principal component
analysis for the purposes of reducing the number of elements in a
vector.
</description>
<examples>
<example>svm_ex.cpp.html</example>
</examples>
</component>
<!-- ************************************************************************* -->
<component> <component>
<name>running_stats</name> <name>running_stats</name>
<file>dlib/statistics.h</file> <file>dlib/statistics.h</file>
...@@ -1050,6 +1074,24 @@ ...@@ -1050,6 +1074,24 @@
<!-- ************************************************************************* --> <!-- ************************************************************************* -->
<component>
<name>normalized_function</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/function_abstract.h</spec_file>
<description>
This object represents some sort of function object that
automatically normalizes its inputs using a <a href="#vector_normalizer">vector_normalizer</a>
object.
</description>
<examples>
<example>svm_ex.cpp.html</example>
</examples>
</component>
<!-- ************************************************************************* -->
<component> <component>
<name>probabilistic_decision_function</name> <name>probabilistic_decision_function</name>
<file>dlib/svm.h</file> <file>dlib/svm.h</file>
......
...@@ -498,6 +498,8 @@ ...@@ -498,6 +498,8 @@
<term link="dlib/matrix/matrix_utilities_abstract.h.html#svd" name="svd"/> <term link="dlib/matrix/matrix_utilities_abstract.h.html#svd" name="svd"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#det" name="det"/> <term link="dlib/matrix/matrix_utilities_abstract.h.html#det" name="det"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#scale_columns" name="scale_columns"/> <term link="dlib/matrix/matrix_utilities_abstract.h.html#scale_columns" name="scale_columns"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#sort_columns" name="sort_columns"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#rsort_columns" name="rsort_columns"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#length" name="length"/> <term link="dlib/matrix/matrix_utilities_abstract.h.html#length" name="length"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#length_squared" name="length_squared"/> <term link="dlib/matrix/matrix_utilities_abstract.h.html#length_squared" name="length_squared"/>
<term link="dlib/matrix/matrix_utilities_abstract.h.html#min" name="min"/> <term link="dlib/matrix/matrix_utilities_abstract.h.html#min" name="min"/>
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment