diff --git a/docs/docs/algorithms.xml b/docs/docs/algorithms.xml index 501e603ccc1770f9e77bd46dd1833749af98d790..6fa2b542df958cdb50f0e28eef45c34b4759991c 100644 --- a/docs/docs/algorithms.xml +++ b/docs/docs/algorithms.xml @@ -111,6 +111,7 @@ <sub> <item>radial_basis_kernel</item> <item>polynomial_kernel</item> + <item>sigmoid_kernel</item> <item>linear_kernel</item> </sub> </item> @@ -1043,7 +1044,20 @@ <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> <description> This object represents a linear function kernel for use with - support vector machines. + kernel learning machines. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sigmoid_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a sigmoid kernel for use with + kernel learning machines. </description> </component> @@ -1056,7 +1070,7 @@ <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> <description> This object represents a polynomial kernel for use with - support vector machines. + kernel learning machines. </description> </component> @@ -1069,7 +1083,7 @@ <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> <description> This object represents a radial basis function kernel for use with - support vector machines. + kernel learning machines. </description> <examples> <example>svm_ex.cpp.html</example> diff --git a/docs/docs/index.xml b/docs/docs/index.xml index 265b837d7652a69348947e72907dcb16f548fcce..910462567a1eabce63befedc3cdcb3a2cfb24422 100644 --- a/docs/docs/index.xml +++ b/docs/docs/index.xml @@ -116,7 +116,7 @@ <li><b>Machine Learning Algorithms</b> <ul> <li><a href="algorithms.html#mlp">multi layer perceptrons</a> </li> - <li><a href="algorithms.html#svm_nu_trainer">nu support vector machines</a> for classification</li> + <li><a href="algorithms.html#svm_nu_trainer">support vector machines</a> for classification</li> <li>An online <a href="algorithms.html#krls">kernel RLS regression</a> algorithm</li> <li>An online kernelized <a href="algorithms.html#kcentroid">centroid estimator</a>/novelty detector</li> <li>A kernelized <a href="algorithms.html#kkmeans">k-means</a> clustering algorithm</li> diff --git a/docs/docs/release_notes.xml b/docs/docs/release_notes.xml index 2e3ccdab8570c9cb4fd53d391257d977ca1ee589..b456fecc30e535c5b9cea3cd169a3c0e566314b0 100644 --- a/docs/docs/release_notes.xml +++ b/docs/docs/release_notes.xml @@ -22,6 +22,7 @@ New Stuff: reduced2() function - Added a radial basis function network trainer - Added the linearly_independent_subset_finder object + - Added the sigmoid_kernel - Matrix Utilities - Added the inv_upper_triangular() and inv_upper_triangular() functions. @@ -38,9 +39,12 @@ Bug fixes: - Added a missing check for division by zero to the conjugate gradient optimization functions. - Added some missing member variables to the .swap and serialization - functions. So now they should work right. + functions for the kcentroid object. So now they should work right. Other: + - Added an option to the cmake file to toggle the DLIB_ASSERT macro + - Added an option to the cmake file to toggle the dlib stack trace macros + - Made the library compile in Cygwin </current> diff --git a/docs/docs/term_index.xml b/docs/docs/term_index.xml index dcc721001a8aa1e2ff4abca849528238c0e5e49f..03cc378e62f258a85a41f6066287dea46e131416 100644 --- a/docs/docs/term_index.xml +++ b/docs/docs/term_index.xml @@ -413,15 +413,16 @@ <term link="dlib/svm/svm_abstract.h.html#maximum_nu" name="maximum_nu"/> - <term link="dlib/svm/function_abstract.h.html#decision_function" name="decision_function"/> - <term link="dlib/svm/function_abstract.h.html#distance_function" name="distance_function"/> - <term link="dlib/svm/function_abstract.h.html#probabilistic_decision_function" name="probabilistic_decision_function"/> + <term link="algorithms.html#decision_function" name="decision_function"/> + <term link="algorithms.html#distance_function" name="distance_function"/> + <term link="algorithms.html#probabilistic_decision_function" name="probabilistic_decision_function"/> + <term link="algorithms.html#linear_kernel" name="linear_kernel"/> + <term link="algorithms.html#polynomial_kernel" name="polynomial_kernel"/> + <term link="algorithms.html#sigmoid_kernel" name="sigmoid_kernel"/> + <term link="algorithms.html#radial_basis_kernel" name="radial_basis_kernel"/> - <term link="dlib/svm/kernel_abstract.h.html#linear_kernel" name="linear_kernel"/> - <term link="dlib/svm/kernel_abstract.h.html#polynomial_kernel" name="polynomial_kernel"/> - <term link="dlib/svm/kernel_abstract.h.html#radial_basis_kernel" name="radial_basis_kernel"/> - <term link="dlib/svm/kernel_abstract.h.html#kernel_derivative" name="kernel_derivative"/> <term link="dlib/svm/kernel_abstract.h.html#Kernel_Function_Objects" name="Kernel Function Objects"/> + <term link="dlib/svm/kernel_abstract.h.html#kernel_derivative" name="kernel_derivative"/>