@@ -152,7 +152,7 @@ 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 3.4.1 available. Options include upgrading your Ubuntu version, finding
+mlpack 3.4.2 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:
diff --git a/doc/examples/sample-ml-app/sample-ml-app/sample-ml-app.vcxproj b/doc/examples/sample-ml-app/sample-ml-app/sample-ml-app.vcxproj
index 92c3d1ae0a8..02d1ed80b42 100644
--- a/doc/examples/sample-ml-app/sample-ml-app/sample-ml-app.vcxproj
+++ b/doc/examples/sample-ml-app/sample-ml-app/sample-ml-app.vcxproj
@@ -104,16 +104,16 @@
true_DEBUG;_CONSOLE;%(PreprocessorDefinitions)false
- C:\boost\boost_1_66_0;C:\mlpack\armadillo-8.500.1\include;C:\mlpack\mlpack-3.4.1\build\include;%(AdditionalIncludeDirectories)
+ C:\boost\boost_1_66_0;C:\mlpack\armadillo-8.500.1\include;C:\mlpack\mlpack-3.4.2\build\include;%(AdditionalIncludeDirectories)Consoletrue
- C:\mlpack\mlpack-3.4.1\build\Debug\mlpack.lib;C:\boost\boost_1_66_0\lib64-msvc-14.1\libboost_serialization-vc141-mt-gd-x64-1_66.lib;%(AdditionalDependencies)
+ C:\mlpack\mlpack-3.4.2\build\Debug\mlpack.lib;C:\boost\boost_1_66_0\lib64-msvc-14.1\libboost_serialization-vc141-mt-gd-x64-1_66.lib;%(AdditionalDependencies)
- xcopy /y "C:\mlpack\mlpack-3.4.1\build\Debug\mlpack.dll" $(OutDir)
-xcopy /y "C:\mlpack\mlpack-3.4.1\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
+ xcopy /y "C:\mlpack\mlpack-3.4.2\build\Debug\mlpack.dll" $(OutDir)
+xcopy /y "C:\mlpack\mlpack-3.4.2\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
xcopy /y "$(ProjectDir)..\..\..\..\src\mlpack\tests\data\german.csv" "$(ProjectDir)data\german.csv*"
diff --git a/doc/guide/build.hpp b/doc/guide/build.hpp
index 2c20941421c..c2d2452e8cf 100644
--- a/doc/guide/build.hpp
+++ b/doc/guide/build.hpp
@@ -30,7 +30,7 @@ to build mlpack on Windows, see \ref build_windows (alternatively, you can read
is based on older versions).
You can download the latest mlpack release from here:
-mlpack-3.4.1
+mlpack-3.4.2
@section build_simple Simple Linux build instructions
@@ -38,9 +38,9 @@ Assuming all dependencies are installed in the system, you can run the commands
below directly to build and install mlpack.
@code
-$ wget https://www.mlpack.org/files/mlpack-3.4.1.tar.gz
-$ tar -xvzpf mlpack-3.4.1.tar.gz
-$ mkdir mlpack-3.4.1/build && cd mlpack-3.4.1/build
+$ wget https://www.mlpack.org/files/mlpack-3.4.2.tar.gz
+$ tar -xvzpf mlpack-3.4.2.tar.gz
+$ mkdir mlpack-3.4.2/build && cd mlpack-3.4.2/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-3.4.1.tar.gz
-$ cd mlpack-3.4.1
+$ tar -xvzpf mlpack-3.4.2.tar.gz
+$ cd mlpack-3.4.2
$ mkdir build
@endcode
diff --git a/doc/guide/python_quickstart.hpp b/doc/guide/python_quickstart.hpp
index 1f442fc39e6..2f249ea5b53 100644
--- a/doc/guide/python_quickstart.hpp
+++ b/doc/guide/python_quickstart.hpp
@@ -32,9 +32,9 @@ 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-3.4.1.tar.gz
-tar -xvzpf mlpack-3.4.1.tar.gz
-mkdir -p mlpack-3.4.1/build/ && cd mlpack-3.4.1/build/
+wget https://www.mlpack.org/files/mlpack-3.4.2.tar.gz
+tar -xvzpf mlpack-3.4.2.tar.gz
+mkdir -p mlpack-3.4.2/build/ && cd mlpack-3.4.2/build/
cmake ../ && make -j4 && sudo make install
@endcode
diff --git a/doc/guide/sample_ml_app.hpp b/doc/guide/sample_ml_app.hpp
index d2a350c85d7..72a7253d5a4 100644
--- a/doc/guide/sample_ml_app.hpp
+++ b/doc/guide/sample_ml_app.hpp
@@ -29,17 +29,17 @@ 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-3.4.1\build\include
+ - C:\mlpack\mlpack-3.4.2\build\include
@endcode
- Under Linker > Input > Additional Dependencies add:
@code
- - C:\mlpack\mlpack-3.4.1\build\Debug\mlpack.lib
+ - C:\mlpack\mlpack-3.4.2\build\Debug\mlpack.lib
- C:\boost\boost_1_71_0\lib64-msvc-14.2\libboost_serialization-vc142-mt-gd-x64-1_71.lib
@endcode
- Under Build Events > Post-Build Event > Command Line add:
@code
- - xcopy /y "C:\mlpack\mlpack-3.4.1\build\Debug\mlpack.dll" $(OutDir)
- - xcopy /y "C:\mlpack\mlpack-3.4.1\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
+ - xcopy /y "C:\mlpack\mlpack-3.4.2\build\Debug\mlpack.dll" $(OutDir)
+ - xcopy /y "C:\mlpack\mlpack-3.4.2\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