Update latest stable version information.
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### mlpack 2.x.x
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###### 2016-??-??
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### mlpack 2.1.0
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###### 2016-10-31
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* Fixed CoverTree to properly handle single-point datasets.
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* Fixed a bug in CosineTree (and thus QUIC-SVD) that caused split failures for
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@@ -6,7 +6,7 @@ a machine learning analog to LAPACK. It aims to implement a wide array of
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machine learning methods and functions as a "swiss army knife" for machine
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learning researchers.
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**Download [current stable version (2.0.3)](http://www.mlpack.org/files/mlpack-2.0.3.tar.gz).**
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**Download [current stable version (2.1.0)](http://www.mlpack.org/files/mlpack-2.1.0.tar.gz).**
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[](http://masterblaster.mlpack.org/job/mlpack%20-%20git%20commit%20test/) <a href="https://ci.appveyor.com/project/mlpack/mlpack"><img src="https://ci.appveyor.com/api/projects/status/lmbfc78wi16agx4q?svg=true" alt="Build status" height="18"></a> [](https://coveralls.io/github/mlpack/mlpack?branch=master)
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@@ -23,14 +23,14 @@ href="http://keon.io/mlpack-on-windows.html">Keon's excellent tutorial</a>.
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@section Download latest mlpack build
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Download latest mlpack build from here:
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<a href="http://www.mlpack.org/files/mlpack-2.0.3.tar.gz">mlpack-2.0.3</a>
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<a href="http://www.mlpack.org/files/mlpack-2.1.0.tar.gz">mlpack-2.1.0</a>
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@section builddir Creating Build Directory
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Once the mlpack source is unpacked, you should create a build directory.
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@code
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$ cd mlpack-2.0.3
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$ cd mlpack-2.1.0
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$ mkdir build
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@endcode
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