For certain systems, we offer pre-built packages of Shogun. This is the easiest way to start using it. For other cases, we describe how to build Shogun from source code.
The base shogun library and its Python interface are available through the conda package manager, via conda-forge. To install both:
conda install -c conda-forge shogun
or to get just the library:
conda install -c conda-forge shogun-cpp
These packages include most of the optional dependencies and are currently available for Linux and MacOS; we're working on a Windows build.
We are working on integrating Shogun with Debian/Ubuntu. In the meantime, we offer a prepackaged ppa. These currently do contain the C++ library and Python bindings. Add this to your system as
sudo add-apt-repository ppa:shogun-toolbox/stable
sudo apt-get update
Then, install as
sudo apt-get install libshogun17
The Python (2) bindings can be installed as
sudo apt-get install python-shogun
In addition to the latest stable release, we offer nightly builds of our development branch.
Latest packages for Debian jessie are available in our own repository at http://apt.shogun.ml. We provide both the stable and nightly packages, currently only for amd64 architecture. In order to add the stable packages to your system, simply run the following commands
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 3DD2174ACAB30365
echo "deb http://apt.shogun.ml/ jessie main" | sudo tee /etc/apt/sources.list.d/shogun-toolbox.list > /dev/null
sudo apt-get update
After this just simply install the shogun library
sudo apt-get install libshogun17
The nightly packages are available in the nightly component, i.e. deb http://apt.shogun.ml/ jessie nightly
Shogun is part of Fedora 25. Install as
sudo dnf install shogun
Shogun is part of homebrew-science. Install the latest stable version as
sudo brew install homebrew/science/shogun
Shogun natively compiles under Windows using MSVC, see the AppVeyor CI build and the Windows section We currently do not support a binary installer. If you are interested in packaging, documenting, or contributing otherwise, please contact us.
You can run Shogun in our own cloud or set up your own using our Docker images as:
sudo docker pull shogun/shogun:master
sudo docker run -it shogun/shogun:master bash
We offer images for both the latest release and nightly development builds.
For the developer version, replace shogun/shogun:master with shogun/shogun-dev.
Check the "details" tab before downloading to check if the latest build was successful (otherwise you might run into errors when running the docker image)."
Sometimes mounting a local folder into the docker image is useful. You can do this via passing an additional option
-v /your/local/folder:/same/folder/in/docker
See the Docker documentation for further details.
Shogun is can be automatically built from source from the following langauges.
You can install from pipy. There is limited control over options and it might take a long time as everything is done from scratch.
pip install shogun-ml
We do not reccomend this option and suggest to rather compile by hand as described below.
In case none of the binary packages listed on our website work for your system, or you want to modify Shogun, you will need to build it from source.
The standard GNU/Linux tools and Python are minimal requirements to compile Shogun. To compile the interfaces, in addition to swig itself, you will need language specific development packages installed, see interfaces below.
There is a larger number of optional requirements. The output of cmake output lists optional dependencies that were found and not found. If a particular Shogun class is unavailable, this is likely due to an unmet dependency. See our docker configuration file for an example configuration used in our test builds.
You need at least 1GB free disk space. If you compile any interface, roughly 4 GB RAM are need (we are working on reducing this). CCache will massively speed up the compilation process and is enabled by default if installed.
Shogun uses CMake for its build. The general workflow is now explained. For further details on testing etc, see DEVELOPING.md.
Download the latest stable release source code, or (as demonstrated here) clone the latest develop code. Potentially update submodules
git clone https://github.com/shogun-toolbox/shogun.git
git submodule update --init
Create the build directory in the source tree root
cd shogun
mkdir build
Configure cmake, from the build directory, passing the Shogun source root as argument.
It is recommended to use any of CMake GUIs (e.g. replace cmake .. with ccmake ..), in particular if you feel unsure about possible parameters and configurations.
Note that all cmake options read as -DOPTION=VALUE.
cd build
cmake [options] ..
Compile
make
Install (prepend sudo if installing system wide), and your are done.
make install
Sometimes you might need to clean up your build (e.g. in case of some major changes). First, try
make clean
If that does not help, try removing the build directory and starting from scratch afterwards
rm -rf build
If you prefer to not run the sudo make install command system wide, you can either install Shogun to a custom location (-DCMAKE_INSTALL_PREFIX=/custom/path, defaults to /usr/local), or even skip make install at all.
In both cases, it is necessary to set a number of system libraries for using Shogun, see INTERFACES.md.
The native C++ interface is always included.
The cmake options for building interfaces are -DINTERFACE_PYTHON=ON -DINTERFACE_R .. etc.
For example, replace the cmake step above by
cmake -DINTERFACE_PYTHON=ON [potentially more options] ..
The required packages (here debian/Ubuntu package names) for each interface are
- Python
python-dev python-numpy- For dealing with customized Python environments, see here
- Octave
octave liboctave-dev
- R
r-base-core
- Java
oracle-java8-installer, non-standard, e.g.https://launchpad.net/~webupd8team/+archive/ubuntu/javajblas, a standard third party library,https://mikiobraun.github.io/jblas/
- Ruby
ruby ruby-dev, andnarraya non-standard third party library,http://masa16.github.io/narray/, install withgem install narray
- Lua
lua5.1 liblua5.1-0-dev
- C-Sharp
mono-devel mono-gmcs cli-common-dev
To use the interfaces, in particular if not installing to the default system-wide location, see INTERFACES.md. See examples below for how to create the examples from the website locally.
All Shogun examples at our website are automatically generated code. You can
generate them (plus additional ones) locally (needs cmake switch -DBUILD_META_EXAMPLES=ON)
make meta_examples
This requires PLY for Python, package python-ply, and ctags, package ctags.
Both source code and potential executables (C++, Java, C-Sharp) are created in build/examples/meta/ when running make.
See INTERFACES.md to run the generated examples and see EXAMPLES.md for more details on their mechanics. See DEVELOPING.md for how the examples are used as tests.
In case you have a problem building Shogun, please open an issue on github with your system details, exact commands used, and logs posted as a gist.
CMake is a beast. Make sure to read the docs and CMake_Useful_Variables. Make sure to understand the concept of out of source builds. Here are some tips on common options that are useful
Specify a different swig executable:
cmake -DSWIG_EXECUTABLE=/usr/bin/swig_custom
To specify a different compiler, see CMake FAQ, "How do I use a different compiler?". You might have to delete the build directory or clear the cmake cache otherwise for this to work.
CC=/path/to/gcc CXX=/path/to/g++ cmake ..
In case header files or libraries are not at standard locations one needs
to manually adjust the libray and include paths, -DCMAKE_INCLUDE_PATH=/my/include/path and -DCMAKE_LIBRARY_PATH=/my/library/path.
Often, there are multiple Python versions installed on the system. There are various reasons for this, i.e. Linux without root access, MacOS + homebrew, using Anaconda or virtualenv. If Shogun is executed using a different Python version that the one it was built against, one will observe crashes when importing Shogun. If this is your setup, you need to make sure that Shogun is both built and executed against the Python environment of your choice. For that, you need to do something similar to
cmake -DPYTHON_INCLUDE_DIR=/path/to/python/include/dir -DPYTHON_LIBRARY=path/to/python/libpythonVERSION.{so|dynlib} -DPYTHON_EXECUTABLE:/path/to/python/executable -DPYTHON_PACKAGES_PATH=/path/to/python/dist-packages ..
For example, for brew installed Python under MacOS, use something like:
cmake -DPYTHON_INCLUDE_DIR=/usr/local/Cellar/python/2.7.5/Frameworks/Python.framework/Headers -DPYTHON_LIBRARY=/usr/local/Cellar/python/2.7.5/Frameworks/Python.framework/Versions/2.7/lib/libpython2.7.dylib -DINTERFACE_PYTHON=ON ..
Under Linux, where you want to use Python 3, which is not the system's default:
cmake -DPYTHON_INCLUDE_DIR=/usr/include/python3.3 -DPYTHON_EXECUTABLE:FILEPATH=/usr/bin/python3 -DPYTHON_PACKAGES_PATH=/usr/local/lib/python3.3/dist-packages -DINTERFACE_PYTHON=ON ..
On a Linux cluster without root access, using Anaconda (note you will need to activate your environment everytime you want to run Shogun):
source path/to/anaconda/bin/activate
cmake -DCMAKE_INSTALL_PREFIX=path/to/shogun/install/dir -DPYTHON_INCLUDE_DIR=path/to/anaconda/include/python2.7/ -DPYTHON_LIBRARY=path/to/anaconda/lib/libpython2.7.so -DPYTHON_EXECUTABLE=path/to/anaconda/bin/python -DINTERFACE_PYTHON=ON ..
Please see our AppVeyor build. It is recommended to use "Visual Studio 14 2015" or "MSBuild". You will need to adjust all path names to the Windows style, e.g.
git clone https://github.com/shogun-toolbox/shogun.git C:\projects\shogun
git submodule -q update --init
cd C:\projects\shogun
md build && cd build
You need to specify a different generator in cmake (to match your IDE), e.g.
cmake -G"Visual Studio 14 2015 Win64" -DCMAKE_BUILD_TYPE=Release -DBUILD_META_EXAMPLES=OFF -DENABLE_TESTING=ON ..
Compiling works as
msbuild "C:\projects\shogun\build\shogun.sln" /verbosity:minimal /t:Clean /p:Configuration=Release /p:Platform=x64
Note: If you use /m in msbuild command without specifying the number, it may occur out of memory errors.