[mlpack-git] master: Update documentation links. (c235a47)
gitdub at mlpack.org
gitdub at mlpack.org
Thu Jul 7 15:03:00 EDT 2016
Repository : https://github.com/mlpack/mlpack.org
On branch : master
Link : https://github.com/mlpack/mlpack.org/compare/db9baf02bb66d50f7a4f5e0924db643684ecbaa4...c235a473af74d4155ad9975a4d9257176beef134
>---------------------------------------------------------------
commit c235a473af74d4155ad9975a4d9257176beef134
Author: Ryan Curtin <ryan at ratml.org>
Date: Thu Jul 7 15:03:00 2016 -0400
Update documentation links.
>---------------------------------------------------------------
c235a473af74d4155ad9975a4d9257176beef134
about.html | 58 +++++++++++++++++++++++-----------------------
docs.html | 8 +++----
docs/mlpack-2.0.1/man.html | 2 +-
download.html | 8 ++++---
help.html | 12 +++++-----
history.html | 37 +++++++++++++++++++++++++++++
index.html | 10 ++++----
involved.html | 8 +++----
tutorials.html | 28 +++++++++++-----------
9 files changed, 105 insertions(+), 66 deletions(-)
diff --git a/about.html b/about.html
index 3e69c33..ac271af 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-2.0.1/doxygen.php?doc=namespacemlpack_1_1cf.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1decision__stump.html"
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=dettutorial.html">tutorial</a>, <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="papers/det.pdf">paper</a>)</li>
<li>Euclidean minimum spanning tree calculation (<a
-href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=emst_tutorial.html">tutorial</a>, <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="papers/emst.pdf">paper</a>)</li>
<li>Gaussian mixture models (<a
-href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1hmm.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1kpca.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=kmtutorial.html">tutorial</a>, <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="http://en.wikipedia.org/wiki/K-means_clustering">wiki</a>)</li>
<li>Least-angle regression (LARS/LASSO) (<a
-href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1fastmks.html">api</a>,
-<a href="docs/mlpack-2.0.1/doxygen.php?doc=fmkstutorial.html">tutorial</a>, <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="papers/fmks.pdf">paper</a>)</li>
<li>Naive Bayes classifier (<a
-href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1naive__bayes.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=nstutorial.html">tutorial</a>, <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="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-2.0.1/doxygen.php?doc=namespacemlpack_1_1nca.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1amf.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1perceptron.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=classRASearch.html">api</a>, <a
+href="docs/mlpack-2.0.2/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-2.0.1/doxygen.php?doc=namespacemlpack_1_1sparse__coding.html">api</a>, <a
+href="docs/mlpack-2.0.2/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 504347d..acfa64c 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 2.0.1</font> (latest release)</center>
+<center><font class="whitebold">mlpack 2.0.2</font> (latest release)</center>
<ul>
-<li>view the <a href="docs/mlpack-2.0.1/man.html">documentation for
+<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-2.0.1/doxygen.php?doc=tutorials.html">mlpack
+<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-2.0.1/doxygen.php">C++ API</a>
+<li>browse the <a href="docs/mlpack-2.0.2/doxygen.php">C++ API</a>
(Doxygen)</li>
</ul>
<center><font class="whitebold">mlpack git master branch</font> (updated
diff --git a/docs/mlpack-2.0.1/man.html b/docs/mlpack-2.0.1/man.html
index 23eb1e1..db52881 100644
--- a/docs/mlpack-2.0.1/man.html
+++ b/docs/mlpack-2.0.1/man.html
@@ -40,7 +40,7 @@ of the algorithms it implements. These may be used to perform many machine
learning tasks without the overhead of writing C++, or may be used as part of a
larger machine learning solution.</p>
<p>Below is a list of the command-line executables <font
-class="whitebold">mlpack 2.0.0</font> provides, with links to the documentation
+class="whitebold">mlpack 2.0.1</font> provides, with links to the documentation
for each executable. This documentation may also be accessed with the <font
class="code">--help</font> parameter or through the man pages provided with your
distribution of <font class="whitebold">mlpack</font>.</p>
diff --git a/download.html b/download.html
index a8f0a79..ac9e6d2 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">2.0.1</font>, released on <font class="whitebold">February
-4th, 2016</font>.</p>
+class="whitebold">2.0.2</font>, released on <font class="whitebold">June
+20th, 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-2.0.1.tar.gz">mlpack-2.0.1.tar.gz</a> (feb. 4th, 2016)</li>
+href="files/mlpack-2.0.2.tar.gz">mlpack-2.0.2.tar.gz</a> (june 20th, 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-2.0.1.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
class="gray">(dec. 24th, 2015)</font></li>
<li><a href="files/mlpack-1.0.12.tar.gz">mlpack-1.0.12.tar.gz</a> <font
diff --git a/help.html b/help.html
index d7bf3e2..d65e4bf 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-2.0.1/doxygen.php?doc=tutorials.html">tutorials</a> for using <font
-class="whitebold">mlpack 2.0.1</li>
-<li>refer to <a href="docs/mlpack-2.0.1/man.html">command-line program documentation</a> for <font
-class="whitebold">mlpack 2.0.1</font> programs</li>
-<li>consult <a href="docs/mlpack-2.0.1/doxygen.php">api documentation</a> for the C++
-interface of <font class="whitebold">mlpack 2.0.1</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>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 67f62b4..f275c55 100644
--- a/history.html
+++ b/history.html
@@ -37,6 +37,43 @@ 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">june 20th, 2016</font> -- <a
+href="http://www.mlpack.org/files/mlpack-2.0.2.tar.gz">mlpack 2.0.2</a><br>
+<ul>
+<li>Added the function LSHSearch::Projections(), which returns an arma::cube
+with each projection table in a slice (<a
+href="https://github.com/mlpack/mlpack/pull/663">#663</a>). Instead of
+Projection(i), you should now use Projections().slice(i).</li>
+<li>A new constructor has been added to LSHSearch that creates objects using
+projection tables provided in an arma::cube (<a
+href="https://github.com/mlpack/mlpack/pull/663">#663</a>).</li>
+<li>LSHSearch projection tables refactored for speed (<a
+href="https://github.com/mlpack/mlpack/pull/675">#675</a>).</li>
+<li>Handle zero-variance dimensions in DET (<a
+href="https://github.com/mlpack/mlpack/issues/515">#515</a>).</li>
+<li>Add MiniBatchSGD optimizer (src/mlpack/core/optimizers/minibatch_sgd/) and
+allow its use in mlpack_logistic_regression and mlpack_nca programs.</li>
+<li>Add better backtrace support from Grzegorz Krajewski for Log::Fatal messages
+when compiled with debugging and profiling symbols. This requires libbfd and
+libdl to be present during compilation.</li>
+<li>CosineTree test fix from Mikhail Lozhnikov (<a
+href="https://github.com/mlpack/mlpack/issues/358">#358</a>).</li>
+<li>Fixed HMM initial state estimation (<a
+href="https://github.com/mlpack/mlpack/issues/600">#600</a>).</li>
+<li>Changed versioning macros __MLPACK_VERSION_MAJOR, __MLPACK_VERSION_MINOR,
+and __MLPACK_VERSION_PATCH to MLPACK_VERSION_MAJOR, MLPACK_VERSION_MINOR, and
+MLPACK_VERSION_PATCH. The old names will remain in place until mlpack
+3.0.0.</li>
+<li>Renamed mlpack_allknn, mlpack_allkfn, and mlpack_allkrann to mlpack_knn,
+mlpack_kfn, and mlpack_krann. The mlpack_allknn, mlpack_allkfn, and
+mlpack_allkrann programs will remain as copies until mlpack 3.0.0.</li>
+<li>Add --random_initialization option to mlpack_hmm_train, for use when no
+labels are provided.</li>
+<li>Add --kill_empty_clusters option to mlpack_kmeans and KillEmptyClusters
+policy for the KMeans class (<a
+href="https://github.com/mlpack/mlpack/issues/595">#595</a>, <a
+href="https://github.com/mlpack/mlpack/issues/596">#596</a>).</li>
+</ul>
<font class="whitebold">february 4th, 2016</font> -- <a
href="http://www.mlpack.org/files/mlpack-2.0.1.tar.gz">mlpack 2.0.1</a><br>
<ul>
diff --git a/index.html b/index.html
index b81c6bd..68bb945 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">2.0.1</font>, released <font
-class="whitebold">feb. 4th, 2016</font>)</font></li>
+version <font class="whitebold">2.0.2</font>, released <font
+class="whitebold">june 20th, 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">feb. 4th, 2016</font>)</font></li>
<div class="smallsection">
<h3>more information</h3>
<ul>
-<li>api documentation -- <a href="docs/mlpack-2.0.1/doxygen.php">2.0.1</a> --
+<li>api documentation -- <a href="docs/mlpack-2.0.2/doxygen.php">2.0.2</a> --
<a href="docs/mlpack-git/doxygen.php">git master</a></li>
<li>list of tutorials -- <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=tutorials.html">2.0.1</a> -- <a
+href="docs/mlpack-2.0.2/doxygen.php?doc=tutorials.html">2.0.2</a> -- <a
href="docs/mlpack-git/doxygen.php?doc=tutorials.html">git master</a></li>
<li>command-line program reference -- <a
-href="docs/mlpack-2.0.1/man.html">2.0.1</a> -- <a
+href="docs/mlpack-2.0.2/man.html">2.0.2</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 ea20e61..37fda27 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-2.0.1/doxygen.php?doc=build.html">tutorial</a>), and set up a
+href="docs/mlpack-2.0.2/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-2.0.1/man.html">man pages</a>) to perform some machine
+href="docs/mlpack-2.0.2/man.html">man pages</a>) to perform some machine
learning tasks.</p> <p>Next, you can implement some <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=sample.html">simple mlpack programs</a>
+href="docs/mlpack-2.0.2/doxygen.php?doc=sample.html">simple mlpack programs</a>
and read through the <a
-href="docs/mlpack-2.0.1/doxygen.php?doc=tutorials.html">other tutorials</a>, and
+href="docs/mlpack-2.0.2/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 9e43371..76af612 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-2.0.1/doxygen.php?doc=build.html">Building mlpack from source</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=iodoc.html">mlpack input and output</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=matrices.html">Matrices in mlpack</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=sample.html">Simple sample mlpack programs</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=timer.html">mlpack timers</a></li>
+<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>
</ul>
Method-specific tutorials:<br>
<ul>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=nstutorial.html">NeighborSearch tutorial
+<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=nstutorial.html">NeighborSearch tutorial
(allknn / allkfn)</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=rstutorial.html">RangeSearch tutorial (range_search)</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=lrtutorial.html">LinearRegression tutorial</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=dettutorial.html">Density Estimation Trees tutorial
+<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
(det)</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=emst_tutorial.html">Euclidean Minimum Spanning
+<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=emst_tutorial.html">Euclidean Minimum Spanning
Trees tutorial (emst)</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=kmtutorial.html">K-Means tutorial (kmeans)</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=fmkstutorial.html">FastMKS tutorial
+<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
(fastmks)</a></li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=amftutorial.html">AMF (alternating matrix
+<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=amftutorial.html">AMF (alternating matrix
factorization) tutorial (includes NMF)</li>
-<li><a href="docs/mlpack-2.0.1/doxygen.php?doc=cftutorial.html">Collaborative filtering (cf)
+<li><a href="docs/mlpack-2.0.2/doxygen.php?doc=cftutorial.html">Collaborative filtering (cf)
tutorial</li>
</ul>
</div>
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