[mlpack-git] master: Update release version. (8ebd92f)
gitdub at mlpack.org
gitdub at mlpack.org
Mon Oct 31 11:43:16 EDT 2016
Repository : https://github.com/mlpack/mlpack.org
On branch : master
Link : https://github.com/mlpack/mlpack.org/compare/50e144705e686dce3097a19237dacf11108d4efa...871543f5c42b8d12d61dfb3f4219e2a706d77847
>---------------------------------------------------------------
commit 8ebd92f963887435ef52aea49b6ce157ee406a59
Author: Ryan Curtin <ryan at ratml.org>
Date: Mon Oct 31 11:43:16 2016 -0400
Update release version.
Also add new contributors.
>---------------------------------------------------------------
8ebd92f963887435ef52aea49b6ce157ee406a59
about.html | 61 ++++++++++++++++++++++++++++++----------------------------
docs.html | 17 ++++++++++++----
download.html | 8 +++++---
help.html | 12 ++++++------
history.html | 19 ++++++++++++++++++
index.html | 10 +++++-----
involved.html | 8 ++++----
tutorials.html | 30 +++++++++++++++--------------
8 files changed, 100 insertions(+), 65 deletions(-)
diff --git a/about.html b/about.html
index 0113e68..bf90070 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-2.0.3/doxygen.php?doc=namespacemlpack_1_1cf.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1decision__stump.html"
+href="docs/mlpack-2.1.0/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-2.0.3/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="docs/mlpack-2.1.0/doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/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="docs/mlpack-2.1.0/doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
+href="docs/mlpack-2.1.0/doxygen.php?doc=emst_tutorial.html">tutorial</a>, <a
href="papers/emst.pdf">paper</a>)</li>
<li>Gaussian mixture models (<a
-href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1hmm.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1kpca.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/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="docs/mlpack-2.1.0/doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/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="docs/mlpack-2.1.0/doxygen.php?doc=namespacemlpack_1_1fastmks.html">api</a>,
+<a href="docs/mlpack-2.1.0/doxygen.php?doc=fmkstutorial.html">tutorial</a>, <a
href="papers/fmks.pdf">paper</a>)</li>
<li>Naive Bayes classifier (<a
-href="docs/mlpack-2.0.3/doxygen.php?doc=namespacemlpack_1_1naive__bayes.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/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="docs/mlpack-2.1.0/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1nca.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1amf.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1perceptron.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=classRASearch.html">api</a>, <a
+href="docs/mlpack-2.1.0/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-2.0.3/doxygen.php?doc=namespacemlpack_1_1sparse__coding.html">api</a>, <a
+href="docs/mlpack-2.1.0/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>
@@ -234,6 +234,9 @@ href="#sup1"><sup>1</sup></a></li>
<li>Mikhail Lozhnikov</li>
<li>Marcos Pividori</li>
<li><a href="http://keon.io">Keon Kim</a></li>
+<li>Nilay Jain</li>
+<li>Peter Lehner</li>
+<li>Anuraj Kanodia</li>
</ul>
<p>Interested in contributing? See <a href="involved.html">this page</a> for
information on how to get involved.</p>
diff --git a/docs.html b/docs.html
index dea0d11..e4b621c 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 2.0.3</font> (latest release)</center>
+<center><font class="whitebold">mlpack 2.1.0</font> (latest release)</center>
<ul>
-<li>view the <a href="docs/mlpack-2.0.3/man.html">documentation for
+<li>view the <a href="docs/mlpack-2.1.0/man.html">documentation for
command-line programs</a></li>
-<li>read the <a href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">mlpack
+<li>read the <a href="docs/mlpack-2.1.0/doxygen.php?doc=tutorials.html">mlpack
tutorials</a></li>
-<li>browse the <a href="docs/mlpack-2.0.3/doxygen.php">C++ API</a>
+<li>browse the <a href="docs/mlpack-2.1.0/doxygen.php">C++ API</a>
(Doxygen)</li>
</ul>
<center><font class="whitebold">mlpack git master branch</font> (updated
@@ -56,6 +56,15 @@ tutorials</a></li>
</ul>
<h4>older mlpack versions</h4>
<br>
+<center><font class="whitebold">mlpack 2.0.3</font></center>
+<ul>
+<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-2.0.3/doxygen.php?doc=tutorials.html">mlpack
+tutorials</a></li>
+<li>browse the <a href="docs/mlpack-2.0.3/doxygen.php">C++ API</a>
+(Doxygen)</li>
+</ul>
<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
diff --git a/download.html b/download.html
index 1430233..33c9de9 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">2.0.3</font>, released on <font class="whitebold">July
-21st, 2016</font>.</p>
+class="whitebold">2.1.0</font>, released on <font class="whitebold">October
+31st, 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-2.0.3.tar.gz">mlpack-2.0.3.tar.gz</a> (july 21st, 2016)</li>
+href="files/mlpack-2.1.0.tar.gz">mlpack-2.1.0.tar.gz</a> (oct. 31st, 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-2.0.3.tar.gz">mlpack-2.0.3.tar.gz</a> <font
+class="gray">(oct. 31st, 2016)</font></li>
<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
diff --git a/help.html b/help.html
index 23b40c3..b62f584 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-2.0.3/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>read <a href="docs/mlpack-2.1.0/doxygen.php?doc=tutorials.html">tutorials</a> for using <font
+class="whitebold">mlpack 2.1.0</li>
+<li>refer to <a href="docs/mlpack-2.1.0/man.html">command-line program documentation</a> for <font
+class="whitebold">mlpack 2.1.0</font> programs</li>
+<li>consult <a href="docs/mlpack-2.1.0/doxygen.php">api documentation</a> for the C++
+interface of <font class="whitebold">mlpack 2.1.0</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 fe6e4f3..49d2cbc 100644
--- a/history.html
+++ b/history.html
@@ -37,6 +37,25 @@ 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">oct. 31st, 2016</font> -- <a
+href="http://www.mlpack.org/files/mlpack-2.1.0.tar.gz">mlpack 2.1.0</a><br>
+<ul>
+<li>Fixed CoverTree to properly handle single-point datasets.</li>
+<li>Fixed a bug in CosineTree (and thus QUIC-SVD) that caused split failures for
+some datasets (<a href="https://github.com/mlpack/mlpack/issues/717">#717</a>).</li>
+<li>Added mlpack_preprocess_describe program, which can be used to print
+statistics on a given dataset (<a
+href="https://github.com/mlpack/mlpack/pull/742">#742</a>).</li>
+<li>Fix prioritized recursion for k-furthest-neighbor search (mlpack_kfn and the
+KFN class), leading to orders-of-magnitude speedups in some cases.</li>
+<li>Bump minimum required version of Armadillo to 4.200.0.</li>
+<li>Added simple Gradient Descent optimizer, found in
+src/mlpack/core/optimizers/gradient_descent/ (<a
+href="https://github.com/mlpack/mlpack/pull/792">#792</a>).</li>
+<li>Added approximate furthest neighbor search algorithms QDAFN and
+DrusillaSelect in src/mlpack/methods/approx_kfn/, with command-line program
+mlpack_approx_kfn.</li>
+</ul>
<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>
diff --git a/index.html b/index.html
index 5187b62..d3be65f 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">2.0.3</font>, released <font
-class="whitebold">july 21st, 2016</font>)</font></li>
+version <font class="whitebold">2.1.0</font>, released <font
+class="whitebold">oct. 31st, 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">july 21st, 2016</font>)</font></li>
<div class="smallsection">
<h3>more information</h3>
<ul>
-<li>api documentation -- <a href="docs/mlpack-2.0.3/doxygen.php">2.0.3</a> --
+<li>api documentation -- <a href="docs/mlpack-2.1.0/doxygen.php">2.1.0</a> --
<a href="docs/mlpack-git/doxygen.php">git master</a></li>
<li>list of tutorials -- <a
-href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">2.0.3</a> -- <a
+href="docs/mlpack-2.1.0/doxygen.php?doc=tutorials.html">2.1.0</a> -- <a
href="docs/mlpack-git/doxygen.php?doc=tutorials.html">git master</a></li>
<li>command-line program reference -- <a
-href="docs/mlpack-2.0.3/man.html">2.0.3</a> -- <a
+href="docs/mlpack-2.1.0/man.html">2.1.0</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 343648c..8cf56e2 100644
--- a/involved.html
+++ b/involved.html
@@ -38,15 +38,15 @@ be a machine learning expert to participate—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-2.0.3/doxygen.php?doc=build.html">tutorial</a>), and set up a
+href="docs/mlpack-2.1.0/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-2.0.3/man.html">man pages</a>) to perform some machine
+href="docs/mlpack-2.1.0/man.html">man pages</a>) to perform some machine
learning tasks.</p> <p>Next, you can implement some <a
-href="docs/mlpack-2.0.3/doxygen.php?doc=sample.html">simple mlpack programs</a>
+href="docs/mlpack-2.1.0/doxygen.php?doc=sample.html">simple mlpack programs</a>
and read through the <a
-href="docs/mlpack-2.0.3/doxygen.php?doc=tutorials.html">other tutorials</a>, and
+href="docs/mlpack-2.1.0/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 6373fa9..2c15fce 100644
--- a/tutorials.html
+++ b/tutorials.html
@@ -37,29 +37,31 @@ 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-2.0.3/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>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=build.html">Building mlpack from source</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=iodoc.html">mlpack input and output</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=matrices.html">Matrices in mlpack</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=sample.html">Simple sample mlpack programs</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=timer.html">mlpack timers</a></li>
</ul>
Method-specific tutorials:<br>
<ul>
-<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=nstutorial.html">NeighborSearch tutorial
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=nstutorial.html">NeighborSearch tutorial
(allknn / allkfn)</a></li>
-<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
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=rstutorial.html">RangeSearch tutorial (range_search)</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=lrtutorial.html">LinearRegression tutorial</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=dettutorial.html">Density Estimation Trees tutorial
(det)</a></li>
-<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=emst_tutorial.html">Euclidean Minimum Spanning
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=emst_tutorial.html">Euclidean Minimum Spanning
Trees tutorial (emst)</a></li>
-<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
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=kmtutorial.html">K-Means tutorial (kmeans)</a></li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=fmkstutorial.html">FastMKS tutorial
(fastmks)</a></li>
-<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=amftutorial.html">AMF (alternating matrix
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=amftutorial.html">AMF (alternating matrix
factorization) tutorial (includes NMF)</li>
-<li><a href="docs/mlpack-2.0.3/doxygen.php?doc=cftutorial.html">Collaborative filtering (cf)
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=cftutorial.html">Collaborative filtering (cf)
tutorial</li>
+<li><a href="docs/mlpack-2.1.0/doxygen.php?doc=akfntutorial.html">Approximate
+furthest neighbor search tutorial</li>
</ul>
</div>
</body>
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