@@ -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 >= 3.2.2
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 >= 3.3.2 is
+If you would like to build the Julia bindings, make sure that Julia >= 3.2.2 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 3.3.2 available. Options include upgrading your Ubuntu version, finding
+mlpack 3.2.2 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 52024666d2..05b714df53 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-3.3.2\build\include;%(AdditionalIncludeDirectories)
+ C:\boost\boost_1_66_0;C:\mlpack\armadillo-8.500.1\include;C:\mlpack\mlpack-3.2.2\build\include;%(AdditionalIncludeDirectories)Consoletrue
- C:\mlpack\mlpack-3.3.2\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)
+ C:\mlpack\mlpack-3.2.2\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)
- xcopy /y "C:\mlpack\mlpack-3.3.2\build\Debug\mlpack.dll" $(OutDir)
-xcopy /y "C:\mlpack\mlpack-3.3.2\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
+ xcopy /y "C:\mlpack\mlpack-3.2.2\build\Debug\mlpack.dll" $(OutDir)
+xcopy /y "C:\mlpack\mlpack-3.2.2\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
xcopy /y "$(ProjectDir)..\..\..\..\src\mlpack\tests\data\german.csv" "$(ProjectDir)data\german.csv*"
diff --git a/doc/guide/build.hpp b/doc/guide/build.hpp
index 96b89fb314..df5e2edb82 100644
--- a/doc/guide/build.hpp
+++ b/doc/guide/build.hpp
@@ -30,7 +30,7 @@ to build mlpack on Windows, see \ref build_windows (alternatively, you can read
is based on older versions).
You can download the latest mlpack release from here:
-mlpack-3.3.2
+mlpack-3.2.2
@section build_simple Simple Linux build instructions
@@ -38,9 +38,9 @@ Assuming all dependencies are installed in the system, you can run the commands
below directly to build and install mlpack.
@code
-$ wget https://www.mlpack.org/files/mlpack-3.3.2.tar.gz
-$ tar -xvzpf mlpack-3.3.2.tar.gz
-$ mkdir mlpack-3.3.2/build && cd mlpack-3.3.2/build
+$ wget https://www.mlpack.org/files/mlpack-3.2.2.tar.gz
+$ tar -xvzpf mlpack-3.2.2.tar.gz
+$ mkdir mlpack-3.2.2/build && cd mlpack-3.2.2/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-3.3.2.tar.gz
-$ cd mlpack-3.3.2
+$ tar -xvzpf mlpack-3.2.2.tar.gz
+$ cd mlpack-3.2.2
$ mkdir build
@endcode
diff --git a/doc/guide/python_quickstart.hpp b/doc/guide/python_quickstart.hpp
index 2983458029..981c1449f3 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-3.3.2.tar.gz
-tar -xvzpf mlpack-3.3.2.tar.gz
-mkdir -p mlpack-3.3.2/build/ && cd mlpack-3.3.2/build/
+wget https://www.mlpack.org/files/mlpack-3.2.2.tar.gz
+tar -xvzpf mlpack-3.2.2.tar.gz
+mkdir -p mlpack-3.2.2/build/ && cd mlpack-3.2.2/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 fd9ca39096..6e42a19c07 100644
--- a/doc/guide/sample_ml_app.hpp
+++ b/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-3.3.2\build\include
+ - C:\mlpack\mlpack-3.2.2\build\include
@endcode
- Under Linker > Input > Additional Dependencies add:
@code
- - C:\mlpack\mlpack-3.3.2\build\Debug\mlpack.lib
+ - C:\mlpack\mlpack-3.2.2\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-3.3.2\build\Debug\mlpack.dll" $(OutDir)
- - xcopy /y "C:\mlpack\mlpack-3.3.2\packages\OpenBLAS.0.2.14.1\lib\native\bin\x64\*.dll" $(OutDir)
+ - xcopy /y "C:\mlpack\mlpack-3.2.2\build\Debug\mlpack.dll" $(OutDir)
+ - xcopy /y "C:\mlpack\mlpack-3.2.2\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
diff --git a/src/mlpack/CMakeLists.txt b/src/mlpack/CMakeLists.txt
index bbc4f02a74..ebfec2b6a6 100644
--- a/src/mlpack/CMakeLists.txt
+++ b/src/mlpack/CMakeLists.txt
@@ -44,7 +44,7 @@ target_link_libraries(mlpack ${MLPACK_LIBRARIES})
set_target_properties(mlpack
PROPERTIES
- VERSION 3.3
+ VERSION 3.2
SOVERSION 3
)
diff --git a/src/mlpack/core/util/version.hpp b/src/mlpack/core/util/version.hpp
index 4f0c4f6de7..1389e1e689 100644
--- a/src/mlpack/core/util/version.hpp
+++ b/src/mlpack/core/util/version.hpp
@@ -17,8 +17,8 @@
// The version of mlpack. If this is a git repository, this will be a version
// with higher number than the most recent release.
#define MLPACK_VERSION_MAJOR 3
-#define MLPACK_VERSION_MINOR 3
-#define MLPACK_VERSION_PATCH 3
+#define MLPACK_VERSION_MINOR 2
+#define MLPACK_VERSION_PATCH 2
// The name of the version (for use by --version).
namespace mlpack {