[mlpack-git] master: Update to latest version. (fc89bea)

gitdub at mlpack.org gitdub at mlpack.org
Thu Jul 21 18:32:39 EDT 2016


Repository : https://github.com/mlpack/mlpack.org
On branch  : master
Link       : https://github.com/mlpack/mlpack.org/compare/c235a473af74d4155ad9975a4d9257176beef134...50e144705e686dce3097a19237dacf11108d4efa

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

commit fc89beab546554112ee5a49e672327e48c904542
Author: Ryan Curtin <ryan at ratml.org>
Date:   Thu Jul 21 18:32:39 2016 -0400

    Update to latest version.


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

fc89beab546554112ee5a49e672327e48c904542
 about.html     | 58 +++++++++++++++++++++++++++++-----------------------------
 docs.html      | 26 ++++++++++++++++++++++----
 download.html  |  8 +++++---
 help.html      | 12 ++++++------
 history.html   | 17 +++++++++++++++++
 index.html     | 10 +++++-----
 involved.html  |  8 ++++----
 tutorials.html | 28 ++++++++++++++--------------
 8 files changed, 102 insertions(+), 65 deletions(-)

diff --git a/about.html b/about.html
index ac271af..0113e68 100644
--- a/about.html
+++ b/about.html
@@ -77,93 +77,93 @@ within <font class="whitebold">mlpack</font>, along with relevant links to
 papers, API documentation, tutorials, or other references.</p>
 <ul>
 <li>Collaborative filtering (with many decomposition techniques) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1cf.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1cf.html">api</a>, <a
 href="http://en.wikipedia.org/wiki/Collaborative_filtering"
 class="lilink">wiki</a>)</li>
 <li>Decision stumps (one-level decision trees) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1decision__stump.html"
+href="docs/mlpack-2.0.3/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="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=dettutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=dettutorial.html">tutorial</a>, <a
 href="papers/det.pdf">paper</a>)</li>
 <li>Euclidean minimum spanning tree calculation (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=emst_tutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=emst_tutorial.html">tutorial</a>, <a
 href="papers/emst.pdf">paper</a>)</li>
 <li>Gaussian mixture models (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
 href="http://en.wikipedia.org/wiki/Gaussian_mixture_model">wiki</a>)</li>
 <li>Hidden Markov models (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1hmm.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1hmm.html">api</a>, <a
 href="http://en.wikipedia.org/wiki/Hidden_Markov_Model">wiki</a>)</li>
 <li>Kernel Principal Components Analysis (optionally with sampling) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1kpca.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1kpca.html">api</a>, <a
 href="papers/kpca.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Kernel_principal_component_analysis"
 class="lilink">wiki</a>)</li>
 <li>k-Means clustering (with several accelerated algorithms) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=kmtutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=kmtutorial.html">tutorial</a>, <a
 href="http://en.wikipedia.org/wiki/K-means_clustering">wiki</a>)</li>
 <li>Least-angle regression (LARS/LASSO) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
 href="papers/lars.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Least-angle_regression">wiki</a>)</li>
 <li>Linear regression (simple least-squares) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
 href="http://en.wikipedia.org/wiki/Linear_regression">wiki</a>)</li>
 <li>Local coordinate coding (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
 href="papers/lcc.pdf">paper</a>)</li>
 <li>Locality-sensitive hashing for approximate nearest neighbor search (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
 href="papers/lsh.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Locality-sensitive_hashing">wiki</a>)</li>
 <li>Logistic regression (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.3/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="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1fastmks.html">api</a>,
-<a href="docs/mlpack-2.0.2/doxygen.php?doc=fmkstutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1fastmks.html">api</a>,
+<a href="docs/mlpack-2.0.3/doxygen.php?doc=fmkstutorial.html">tutorial</a>, <a
 href="papers/fmks.pdf">paper</a>)</li>
 <li>Naive Bayes classifier (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1naive__bayes.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1naive__bayes.html">api</a>, <a
 href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier">wiki</a>)</li>
 <li>Nearest neighbor search with dual-tree algorithms (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=nstutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=nstutorial.html">tutorial</a>, <a
 href="papers/ns.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Nearest_neighbor_search">wiki</a>)</li>
 <li>Neighborhood components analysis (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1nca.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1nca.html">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="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1amf.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1amf.html">api</a>, <a
 href="papers/nmf.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Nonnegative_matrix_factorization"
 class="lilink">wiki</a>)</li>
 <li>Perceptrons (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1perceptron.html">api</a>, <a
+href="docs/mlpack-2.0.3/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="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
 href="http://en.wikipedia.org/wiki/Principal_components_analysis">wiki</a>)</li>
 <li>RADICAL (independent components analysis) (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
 href="papers/radical.pdf">paper</a>)</li>
 <li>Range search with dual-tree algorithms (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
 href="doxygen.php?doc=rstutorial.html">tutorial</a>, <a
 href="papers/rs.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Range_search">wiki</a>)</li>
 <li>Rank-approximate nearest neighbor search (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=classRASearch.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=classRASearch.html">api</a>, <a
 href="papers/rann.pdf">paper</a>)</li>
 <li>Sparse coding with dictionary learning (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=namespacemlpack_1_1sparse__coding.html">api</a>, <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1sparse__coding.html">api</a>, <a
 href="papers/sparse_coding.pdf">paper</a>, <a
 href="http://en.wikipedia.org/wiki/Sparse_coding">wiki</a>)</li>
 </ul>
diff --git a/docs.html b/docs.html
index acfa64c..dea0d11 100644
--- a/docs.html
+++ b/docs.html
@@ -35,13 +35,13 @@ href="https://github.com/mlpack/mlpack">github</a></div>
 class="whitebold">mlpack</font>.  The documentation below is arranged by
 the version of <font class="whitebold">mlpack</font>.
 </p>
-<center><font class="whitebold">mlpack 2.0.2</font> (latest release)</center>
+<center><font class="whitebold">mlpack 2.0.3</font> (latest release)</center>
 <ul>
-<li>view the <a href="docs/mlpack-2.0.2/man.html">documentation for
+<li>view the <a href="docs/mlpack-2.0.3/man.html">documentation for
 command-line programs</a></li>
-<li>read the <a href="docs/mlpack-2.0.2/doxygen.php?doc=tutorials.html">mlpack
+<li>read the <a href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">mlpack
 tutorials</a></li>
-<li>browse the <a href="docs/mlpack-2.0.2/doxygen.php">C++ API</a>
+<li>browse the <a href="docs/mlpack-2.0.3/doxygen.php">C++ API</a>
 (Doxygen)</li>
 </ul>
 <center><font class="whitebold">mlpack git master branch</font> (updated
@@ -56,6 +56,24 @@ tutorials</a></li>
 </ul>
 <h4>older mlpack versions</h4>
 <br>
+<center><font class="whitebold">mlpack 2.0.2</font></center>
+<ul>
+<li>view the <a href="docs/mlpack-2.0.2/man.html">documentation for
+command-line programs</a></li>
+<li>read the <a href="docs/mlpack-2.0.2/doxygen.php?doc=tutorials.html">mlpack
+tutorials</a></li>
+<li>browse the <a href="docs/mlpack-2.0.2/doxygen.php">C++ API</a>
+(Doxygen)</li>
+</ul>
+<center><font class="whitebold">mlpack 2.0.1</font></center>
+<ul>
+<li>view the <a href="docs/mlpack-2.0.1/man.html">documentation for
+command-line programs</a></li>
+<li>read the <a href="docs/mlpack-2.0.1/doxygen.php?doc=tutorials.html">mlpack
+tutorials</a></li>
+<li>browse the <a href="docs/mlpack-2.0.1/doxygen.php">C++ API</a>
+(Doxygen)</li>
+</ul>
 <center><font class="whitebold">mlpack 2.0.0</font></center>
 <ul>
 <li>view the <a href="docs/mlpack-2.0.0/man.html">documentation for
diff --git a/download.html b/download.html
index ac9e6d2..1430233 100644
--- a/download.html
+++ b/download.html
@@ -32,15 +32,15 @@ href="https://github.com/mlpack/mlpack">github</a></div>
 <div class="mainsection">
 <center class="smallertext"><h2>download <font class="whitebold">mlpack</font></h2></center>
 <p>The latest release of <font class="whitebold">mlpack</font> is version <font
-class="whitebold">2.0.2</font>, released on <font class="whitebold">June
-20th, 2016</font>.</p>
+class="whitebold">2.0.3</font>, released on <font class="whitebold">July
+21st, 2016</font>.</p>
 <p>If you are a Linux or BSD user, <font class="whitebold">mlpack</font> is probably
 available through your distribution's package manager.  <font
 class="whitebold">mlpack</font> is packaged for at least Debian, Ubuntu, Fedora,
 and Arch Linux.</p>
 <ul>
 <li><font class="whitebold">stable source:</font> <a
-href="files/mlpack-2.0.2.tar.gz">mlpack-2.0.2.tar.gz</a> (june 20th, 2016)</li>
+href="files/mlpack-2.0.3.tar.gz">mlpack-2.0.3.tar.gz</a> (july 21st, 2016)</li>
 <li><font class="whitebold">development source:</font> <a
 href="https://github.com/mlpack/mlpack/archive/master.zip">master.zip</a> (from <a href="http://github.com/mlpack/mlpack">Github</a>)</li>
 <li><a href="history.html">history / changelog</a></li>
@@ -49,6 +49,8 @@ href="https://github.com/mlpack/mlpack/archive/master.zip">master.zip</a> (from
 Note that versions older than 1.0.12 are licensed under the LGPL3, while 1.0.12
 and newer are licensed under the BSD license.</p>
 <ul>
+<li><a href="files/mlpack-2.0.2.tar.gz">mlpack-2.0.2.tar.gz</a> <font
+class="gray">(jun. 20th, 2016)</font></li>
 <li><a href="files/mlpack-2.0.1.tar.gz">mlpack-2.0.1.tar.gz</a> <font
 class="gray">(feb. 4th, 2016)</font></li>
 <li><a href="files/mlpack-2.0.0.tar.gz">mlpack-2.0.0.tar.gz</a> <font
diff --git a/help.html b/help.html
index d65e4bf..23b40c3 100644
--- a/help.html
+++ b/help.html
@@ -40,12 +40,12 @@ class="whitebold">mlpack</li>
 <li>view <a
 href="https://github.com/mlpack/mlpack/blob/master/README.md">the readme</a>
 file for the <font class="whitebold">mlpack</font> project</li>
-<li>read <a href="docs/mlpack-2.0.2/doxygen.php?doc=tutorials.html">tutorials</a> for using <font
-class="whitebold">mlpack 2.0.2</li>
-<li>refer to <a href="docs/mlpack-2.0.2/man.html">command-line program documentation</a> for <font
-class="whitebold">mlpack 2.0.2</font> programs</li>
-<li>consult <a href="docs/mlpack-2.0.2/doxygen.php">api documentation</a> for the C++
-interface of <font class="whitebold">mlpack 2.0.2</li>
+<li>read <a href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">tutorials</a> for using <font
+class="whitebold">mlpack 2.0.3</li>
+<li>refer to <a href="docs/mlpack-2.0.3/man.html">command-line program documentation</a> for <font
+class="whitebold">mlpack 2.0.3</font> programs</li>
+<li>consult <a href="docs/mlpack-2.0.3/doxygen.php">api documentation</a> for the C++
+interface of <font class="whitebold">mlpack 2.0.3</li>
 <li>view <a href="docs.html">documentation for other versions of mlpack</a>
 (including the git master branch)</li>
 <li>browse <a
diff --git a/history.html b/history.html
index f275c55..fe6e4f3 100644
--- a/history.html
+++ b/history.html
@@ -37,6 +37,23 @@ href="https://github.com/mlpack/mlpack">github</a></div>
 <div class="mainsection smallertext">
 <center><h2><font class="whitebold">history and
 news</font></h2></center><br>
+<font class="whitebold">july 21st, 2016</font> -- <a
+href="http://www.mlpack.org/files/mlpack-2.0.3.tar.gz">mlpack 2.0.3</a><br>
+<ul>
+<li>Standardize some parameter names for programs (old names are kept for
+reverse compatibility, but warnings will now be issued).</li>
+<li>RectangleTree optimizations (<a
+href="https://github.com/mlpack/mlpack/pull/721">#721</a>).</li>
+<li>Fix memory leak in NeighborSearch (<a
+href="https://github.com/mlpack/mlpack/pull/731">#731</a>).</li>
+<li>Documentation fix for k-means tutorial (<a
+href="https://github.com/mlpack/mlpack/pull/730">#730</a>).</li>
+<li>Fix TreeTraits for BallTree (<a
+href="https://github.com/mlpack/mlpack/pull/727">#727</a>).</li>
+<li>Fix incorrect parameter checks for some command-line programs.</li>
+<li>Fix error in HMM training with probabilities for each point (<a
+href="https://github.com/mlpack/mlpack/pull/636">#636</a>).</li>
+</ul>
 <font class="whitebold">june 20th, 2016</font> -- <a
 href="http://www.mlpack.org/files/mlpack-2.0.2.tar.gz">mlpack 2.0.2</a><br>
 <ul>
diff --git a/index.html b/index.html
index 68bb945..5187b62 100644
--- a/index.html
+++ b/index.html
@@ -43,8 +43,8 @@ learning solutions.
 <ul>
 <li><a href="download.html">download</a> <font
 class="gray">(newest
-version <font class="whitebold">2.0.2</font>, released <font
-class="whitebold">june 20th, 2016</font>)</font></li>
+version <font class="whitebold">2.0.3</font>, released <font
+class="whitebold">july 21st, 2016</font>)</font></li>
 <li><a href="history.html">release history</a></li>
 <li><a href="citation.txt">citation information</a></li>
 </ul>
@@ -62,13 +62,13 @@ class="whitebold">june 20th, 2016</font>)</font></li>
 <div class="smallsection">
 <h3>more information</h3>
 <ul>
-<li>api documentation -- <a href="docs/mlpack-2.0.2/doxygen.php">2.0.2</a> --
+<li>api documentation -- <a href="docs/mlpack-2.0.3/doxygen.php">2.0.3</a> --
 <a href="docs/mlpack-git/doxygen.php">git master</a></li>
 <li>list of tutorials -- <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=tutorials.html">2.0.2</a> -- <a
+href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">2.0.3</a> -- <a
 href="docs/mlpack-git/doxygen.php?doc=tutorials.html">git master</a></li>
 <li>command-line program reference --  <a
-href="docs/mlpack-2.0.2/man.html">2.0.2</a> -- <a
+href="docs/mlpack-2.0.3/man.html">2.0.3</a> -- <a
 href="docs/mlpack-git/man.html">git master</a></li>
 <li><a href="docs.html">documentation for all versions</a></li>
 <li>papers: <a
diff --git a/involved.html b/involved.html
index 37fda27..343648c 100644
--- a/involved.html
+++ b/involved.html
@@ -38,15 +38,15 @@ be a machine learning expert to participate&mdash;often, there are many tasks to
 be done that don't require in-depth knowledge.</p>
 <p>A good place to start is to <a href="download.html">download</a> <font
 class="whitebold">mlpack</font>, compile it from source (<a
-href="docs/mlpack-2.0.2/doxygen.php?doc=build.html">tutorial</a>), and set up a
+href="docs/mlpack-2.0.3/doxygen.php?doc=build.html">tutorial</a>), and set up a
 development environment.  Once you've done this, it would probably be useful to
 get a feel for some of the algorithms <font class="whitebold">mlpack</font>
 implements by using some of the command-line programs (<a
-href="docs/mlpack-2.0.2/man.html">man pages</a>) to perform some machine
+href="docs/mlpack-2.0.3/man.html">man pages</a>) to perform some machine
 learning tasks.</p> <p>Next, you can implement some <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=sample.html">simple mlpack programs</a>
+href="docs/mlpack-2.0.3/doxygen.php?doc=sample.html">simple mlpack programs</a>
 and read through the <a
-href="docs/mlpack-2.0.2/doxygen.php?doc=tutorials.html">other tutorials</a>, and
+href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">other tutorials</a>, and
 by the time you've finished with that you should have a pretty good handle on
 the way the library works.</p> <p>At this point, you're probably ready to jump
 in and start contributing.  Development is done <a
diff --git a/tutorials.html b/tutorials.html
index 76af612..6373fa9 100644
--- a/tutorials.html
+++ b/tutorials.html
@@ -37,28 +37,28 @@ href="https://github.com/mlpack/mlpack">github</a></div>
 <center><font class="whitebold">mlpack tutorials</font></center><br>
 General <font class="whitebold">mlpack</font> tutorials:<br>
 <ul>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=build.html">Building mlpack from source</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=iodoc.html">mlpack input and output</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=matrices.html">Matrices in mlpack</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=sample.html">Simple sample mlpack programs</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=timer.html">mlpack timers</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=build.html">Building mlpack from source</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=iodoc.html">mlpack input and output</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=matrices.html">Matrices in mlpack</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=sample.html">Simple sample mlpack programs</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=timer.html">mlpack timers</a></li>
 </ul>
 Method-specific tutorials:<br>
 <ul>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=nstutorial.html">NeighborSearch tutorial
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=nstutorial.html">NeighborSearch tutorial
 (allknn / allkfn)</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=rstutorial.html">RangeSearch tutorial (range_search)</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=lrtutorial.html">LinearRegression tutorial</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=dettutorial.html">Density Estimation Trees tutorial
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=rstutorial.html">RangeSearch tutorial (range_search)</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=lrtutorial.html">LinearRegression tutorial</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=dettutorial.html">Density Estimation Trees tutorial
 (det)</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=emst_tutorial.html">Euclidean Minimum Spanning
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=emst_tutorial.html">Euclidean Minimum Spanning
 Trees tutorial (emst)</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=kmtutorial.html">K-Means tutorial (kmeans)</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=fmkstutorial.html">FastMKS tutorial
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=kmtutorial.html">K-Means tutorial (kmeans)</a></li>
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=fmkstutorial.html">FastMKS tutorial
 (fastmks)</a></li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=amftutorial.html">AMF (alternating matrix
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=amftutorial.html">AMF (alternating matrix
 factorization) tutorial (includes NMF)</li>
-<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=cftutorial.html">Collaborative filtering (cf)
+<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=cftutorial.html">Collaborative filtering (cf)
 tutorial</li>
 </ul>
 </div>




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