Update version to 3.3.1.

CMakeLists.txt

@@ -359,22 +359,22 @@ endif ()
 find_package(Ensmallen 2.10.0)
 if (NOT ENSMALLEN_FOUND)
   if (DOWNLOAD_ENSMALLEN)
-    file(DOWNLOAD http://www.ensmallen.org/files/ensmallen-latest.tar.gz
-        "${CMAKE_BINARY_DIR}/deps/ensmallen-latest.tar.gz"
+    file(DOWNLOAD http://www.ensmallen.org/files/ensmallen-2.12.1.tar.gz
+        "${CMAKE_BINARY_DIR}/deps/ensmallen-2.12.1.tar.gz"
         STATUS ENS_DOWNLOAD_STATUS_LIST LOG ENS_DOWNLOAD_LOG
         SHOW_PROGRESS)
     list(GET ENS_DOWNLOAD_STATUS_LIST 0 ENS_DOWNLOAD_STATUS)
     if (ENS_DOWNLOAD_STATUS EQUAL 0)
       execute_process(COMMAND ${CMAKE_COMMAND} -E
-          tar xzf "${CMAKE_BINARY_DIR}/deps/ensmallen-latest.tar.gz"
+          tar xzf "${CMAKE_BINARY_DIR}/deps/ensmallen-2.12.1.tar.gz"
           WORKING_DIRECTORY "${CMAKE_BINARY_DIR}/deps/")
 
       # Get the name of the directory.
       file (GLOB ENS_DIRECTORIES RELATIVE "${CMAKE_BINARY_DIR}/deps/"
           "${CMAKE_BINARY_DIR}/deps/ensmallen-[0-9]*.[0-9]*.[0-9]*")
       # list(FILTER) is not available on 3.5 or older, but try to keep
       # configuring without filtering the list anyway (it might work if only
-      # the file ensmallen-latest.tar.gz is present.
+      # the file ensmallen-2.12.1.tar.gz is present.
       if (${CMAKE_VERSION} VERSION_GREATER_EQUAL "3.6.0")
         list(FILTER ENS_DIRECTORIES EXCLUDE REGEX "ensmallen-.*\.tar\.gz")
       endif ()

README.md

@@ -23,7 +23,7 @@ src="https://cdn.rawgit.com/mlpack/mlpack.org/e7d36ed8/mlpack-black.svg" style="
 <p align="center">
   <em>
     Download:
-    <a href="https://www.mlpack.org/files/mlpack-3.3.0.tar.gz">current stable version (3.3.0)</a>
+    <a href="https://www.mlpack.org/files/mlpack-3.3.1.tar.gz">current stable version (3.3.1)</a>
   </em>
 </p>
 
@@ -103,7 +103,7 @@ mlpack has the following dependencies:
       Armadillo      >= 8.400.0
       Boost (program_options, math_c99, unit_test_framework, serialization,
              spirit) >= 1.58.0
-      CMake          >= 3.3.2
+      CMake          >= 3.3.1
       ensmallen      >= 2.10.0
 
 All of those should be available in your distribution's package manager.  If
@@ -118,7 +118,7 @@ following Python packages are installed:
       numpy
       pandas >= 0.15.0
 
-If you would like to build the Julia bindings, make sure that Julia >= 1.3.0 is
+If you would like to build the Julia bindings, make sure that Julia >= 3.3.1 is
 installed.
 
 If the STB library headers are available, image loading support will be
@@ -138,7 +138,7 @@ on Ubuntu, you can install mlpack with the following command:
 
 Note: Older Ubuntu versions may not have the most recent version of mlpack
 available---for instance, at the time of this writing, Ubuntu 16.04 only has
-mlpack 2.0.1 available.  Options include upgrading your Ubuntu version, finding
+mlpack 3.3.1 available.  Options include upgrading your Ubuntu version, finding
 a PPA or other non-official sources, or installing with a manual build.
 
 There are some useful pages to consult in addition to this section:

doc/examples/sample-ml-app/sample-ml-app/sample-ml-app.vcxproj

@@ -104,16 +104,16 @@
       <SDLCheck>true</SDLCheck>
       <PreprocessorDefinitions>_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
       <ConformanceMode>false</ConformanceMode>
-      <AdditionalIncludeDirectories>C:\boost\boost_1_66_0;C:\mlpack\armadillo-8.500.1\include;C:\mlpack\mlpack-3.3.0\build\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+      <AdditionalIncludeDirectories>C:\boost\boost_1_66_0;C:\mlpack\armadillo-8.500.1\include;C:\mlpack\mlpack-3.3.1\build\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
     </ClCompile>
     <Link>
       <SubSystem>Console</SubSystem>
       <GenerateDebugInformation>true</GenerateDebugInformation>
-      <AdditionalDependencies>C:\mlpack\mlpack-3.3.0\build\Debug\mlpack.lib;C:\boost\boost_1_66_0\lib64-msvc-14.1\libboost_serialization-vc141-mt-gd-x64-1_66.lib;C:\boost\boost_1_66_0\lib64-msvc-14.1\libboost_program_options-vc141-mt-gd-x64-1_66.lib;%(AdditionalDependencies)</AdditionalDependencies>
+      <AdditionalDependencies>C:\mlpack\mlpack-3.3.1\build\Debug\mlpack.lib;C:\boost\boost_1_66_0\lib64-msvc-14.1\libboost_serialization-vc141-mt-gd-x64-1_66.lib;C:\boost\boost_1_66_0\lib64-msvc-14.1\libboost_program_options-vc141-mt-gd-x64-1_66.lib;%(AdditionalDependencies)</AdditionalDependencies>
     </Link>
     <PostBuildEvent>
-      <Command>xcopy /y "C:\mlpack\mlpack-3.3.0\build\Debug\mlpack.dll" $(OutDir)
-xcopy /y "C:\mlpack\mlpack-3.3.0\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
+      <Command>xcopy /y "C:\mlpack\mlpack-3.3.1\build\Debug\mlpack.dll" $(OutDir)
+xcopy /y "C:\mlpack\mlpack-3.3.1\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
 xcopy /y "$(ProjectDir)..\..\..\..\src\mlpack\tests\data\german.csv" "$(ProjectDir)data\german.csv*"</Command>
     </PostBuildEvent>
   </ItemDefinitionGroup>

doc/guide/build.hpp

@@ -30,17 +30,17 @@ to build mlpack on Windows, see \ref build_windows (alternatively, you can read
 is based on older versions).
 
 You can download the latest mlpack release from here:
-<a href="https://www.mlpack.org/files/mlpack-3.3.0.tar.gz">mlpack-3.3.0</a>
+<a href="https://www.mlpack.org/files/mlpack-3.3.1.tar.gz">mlpack-3.3.1</a>
 
 @section build_simple Simple Linux build instructions
 
 Assuming all dependencies are installed in the system, you can run the commands
 below directly to build and install mlpack.
 
 @code
-$ wget https://www.mlpack.org/files/mlpack-3.3.0.tar.gz
-$ tar -xvzpf mlpack-3.3.0.tar.gz
-$ mkdir mlpack-3.3.0/build && cd mlpack-3.3.0/build
+$ wget https://www.mlpack.org/files/mlpack-3.3.1.tar.gz
+$ tar -xvzpf mlpack-3.3.1.tar.gz
+$ mkdir mlpack-3.3.1/build && cd mlpack-3.3.1/build
 $ cmake ../
 $ make -j4  # The -j is the number of cores you want to use for a build.
 $ sudo make install
@@ -65,8 +65,8 @@ configure mlpack.
 First we should unpack the mlpack source and create a build directory.
 
 @code
-$ tar -xvzpf mlpack-3.3.0.tar.gz
-$ cd mlpack-3.3.0
+$ tar -xvzpf mlpack-3.3.1.tar.gz
+$ cd mlpack-3.3.1
 $ mkdir build
 @endcode
 

doc/guide/python_quickstart.hpp

@@ -31,9 +31,9 @@ build and install mlpack.  You can copy-paste the commands into your shell.
 @code{.sh}
 sudo apt-get install libboost-all-dev g++ cmake libarmadillo-dev python-pip wget
 sudo pip install cython setuptools distutils numpy pandas
-wget https://www.mlpack.org/files/mlpack-3.3.0.tar.gz
-tar -xvzpf mlpack-3.3.0.tar.gz
-mkdir -p mlpack-3.3.0/build/ && cd mlpack-3.3.0/build/
+wget https://www.mlpack.org/files/mlpack-3.3.1.tar.gz
+tar -xvzpf mlpack-3.3.1.tar.gz
+mkdir -p mlpack-3.3.1/build/ && cd mlpack-3.3.1/build/
 cmake ../ && make -j4 && sudo make install
 @endcode
 

doc/guide/sample_ml_app.hpp

@@ -29,18 +29,18 @@ mlpack and dependencies in Release Mode).
 @code
  - C:\boost\boost_1_71_0\lib\native\include
  - C:\mlpack\armadillo-9.800.3\include
- - C:\mlpack\mlpack-3.3.0\build\include
+ - C:\mlpack\mlpack-3.3.1\build\include
 @endcode
 - Under Linker > Input > Additional Dependencies add:
 @code
- - C:\mlpack\mlpack-3.3.0\build\Debug\mlpack.lib
+ - C:\mlpack\mlpack-3.3.1\build\Debug\mlpack.lib
  - C:\boost\boost_1_71_0\lib64-msvc-14.2\libboost_serialization-vc142-mt-gd-x64-1_71.lib
  - C:\boost\boost_1_71_0\lib64-msvc-14.2\libboost_program_options-vc142-mt-gd-x64-1_71.lib
 @endcode
 - Under Build Events > Post-Build Event > Command Line add:
 @code
- - xcopy /y "C:\mlpack\mlpack-3.3.0\build\Debug\mlpack.dll" $(OutDir)
- - xcopy /y "C:\mlpack\mlpack-3.3.0\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
+ - xcopy /y "C:\mlpack\mlpack-3.3.1\build\Debug\mlpack.dll" $(OutDir)
+ - xcopy /y "C:\mlpack\mlpack-3.3.1\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
 @endcode
 
 @note Recent versions of Visual Studio set "Conformance Mode" enabled by default. This causes some issues with