[mlpack-git] master: Add some missing methods. (2e804c2)

[gitdub at big.cc.gt.atl.ga.us]

Repository : https://github.com/mlpack/mlpack.org

On branch  : master
Link       : https://github.com/mlpack/mlpack.org/compare/344bb235162750b099c994359491930a31a72194...2c3eae9b1b2dcce628dcffbce713d6c61c7eadc6

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commit 2e804c252f64e6f215a364411aee972dd2390589
Author: Ryan Curtin <ryan at ratml.org>
Date:   Thu Mar 26 00:38:04 2015 +0000

    Add some missing methods.


>---------------------------------------------------------------

2e804c252f64e6f215a364411aee972dd2390589
 about.html | 26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/about.html b/about.html
index 83cd5e4..e4cad1c 100644
--- a/about.html
+++ b/about.html
@@ -72,6 +72,14 @@ within <font class="whitebold">mlpack</font>, along with relevant links to
 papers, API documentation, tutorials, or other references.
 <br><br>
 <ul>
+<li>Collaborative filtering (with numerous matrix decomposition techniques) (<a
+href="doxygen.php?doc=namespacemlpack_1_1cf.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=cftutorial.html" class="lilink">tutorial</a>, <a
+href="http://en.wikipedia.org/wiki/Collaborative_filtering"
+class="lilink">wiki</a>)</li>
+<li>Decision stumps (one-level decision trees) (<a
+href="doxygen.php?doc=namespacemlpack_1_1decision_stump.html"
+class="lilink">api</a>, <a href="papers/ds.pdf">paper</a>)</li>
 <li>Density estimation trees (<a
 href="doxygen.php?doc=namespacemlpack_1_1det.html" class="lilink">api</a>, <a
 href="doxygen.php?doc=dettutorial.html" class="lilink">tutorial</a>, <a
@@ -109,6 +117,13 @@ href="papers/lcc.pdf" class="lilink">paper</a>)</li>
 href="doxygen.php?doc=namespacemlpack_1_1neighbor.html" class="lilink">api</a>, <a
 href="papers/lsh.pdf" class="lilink">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Locality-sensitive_hashing" class="lilink">wiki</a>)</li>
+<li>Logistic regression (<a
+href="doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="http://en.wikipedia.org/wiki/Logistic_regression">wiki</a>)</li>
+<li>Max-kernel search (<a
+href="doxygen.php?doc=namespacemlpack_1_1fastmks.html" class="lilink">api</a>,
+<a href="doxygen.php?doc=fmkstutorial.html">tutorial</a>, <a
+href="papers/fmks.pdf">paper</a>)</li>
 <li>Naive Bayes classifier (<a
 href="doxygen.php?doc=namespacemlpack_1_1naive_bayes.html" class="lilink">api</a>, <a
 href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier" class="lilink">wiki</a>)</li>
@@ -122,6 +137,13 @@ href="doxygen.php?doc=namespacemlpack_1_1nca.html" class="lilink">api</a>, <a
 href="papers/nca.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Neighborhood_components_analysis"
 class="lilink">wiki</a>)</li>
+<li>Non-negative matrix factorization (<a
+href="doxygen.php?doc=namespacemlpack_1_1amf.html" class="lilink">api</a>, <a
+href="papers/nmf.pdf" class="lilink">paper</a>, <a
+href="http://en.wikipedia.org/wiki/Nonnegative_matrix_factorization">wiki</a>)</li>
+<li>Perceptrons (<a
+href="doxygen.php?doc=namespacemlpack_1_1perceptron.html">api</a>, <a
+href="http://en.wikipedia.org/wiki/Perceptron">wiki</a>)</li>
 <li>Principal components analysis (PCA) (<a
 href="doxygen.php?doc=namespacemlpack_1_1pca.html" class="lilink">api</a>, <a
 href="http://en.wikipedia.org/wiki/Principal_components_analysis" class="lilink">wiki</a>)</li>
@@ -133,6 +155,10 @@ href="doxygen.php?doc=namespacemlpack_1_1range.html" class="lilink">api</a>, <a
 href="doxygen.php?doc=rstutorial.html" class="lilink">tutorial</a>, <a
 href="papers/rs.pdf" class="lilink">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Range_search" class="lilink">wiki</a>)</li>
+<li>Rank-approximate nearest neighbor search (<a
+href="doxygen.php?doc=namespacemlpack_1_1rann.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=ranntutorial.html" class="lilink">tutorial</a>, <a
+href="papers/rann.pdf">paper</a>)</li>
 <li>Sparse coding with dictionary learning (<a
 href="doxygen.php?doc=namespacemlpack_1_1sparse_coding.html" class="lilink">api</a>, <a
 href="papers/sparse_coding.pdf" class="lilink">paper</a>, <a