Shogun (toolbox)


Shogun is a free, open-source machine learning software library written in C++. It offers numerous algorithms and data structures for machine learning problems. It offers interfaces for Octave, Python, R, Java, Lua, Ruby and C# using SWIG.
It is licensed under the terms of the GNU General Public License version 3 or later.

Description

The focus of Shogun is on kernel machines such as support vector machines for regression and classification problems. Shogun also offers a full implementation of Hidden Markov models.
The core of Shogun is written in C++ and offers interfaces for MATLAB, Octave, Python, R, Java, Lua, Ruby and C#.
Shogun has been under active development since 1999. Today there is a vibrant user community all over the world using Shogun as a base for research and education, and contributing to the core package.

Supported algorithms

Currently Shogun supports the following algorithms:
Many different kernels are implemented, ranging from kernels for numerical data to kernels on special data. The currently implemented kernels for numeric data include:
The supported kernels for special data include:
The latter group of kernels allows processing of arbitrary sequences over fixed alphabets such as DNA sequences as well as whole e-mail texts.

Special features

As Shogun was developed with bioinformatics applications in mind it is capable of processing huge datasets consisting of up to 10 million samples.
Shogun supports the use of pre-calculated kernels. It is also possible to use a combined kernel i.e. a kernel consisting of a linear combination of arbitrary kernels over different domains. The coefficients or weights of the linear combination can be learned as well. For this purpose Shogun offers a multiple kernel learning functionality.