= Proposed Self Contained Change: The Shogun Machine Learning Toolbox =
https://fedoraproject.org/wiki/Changes/shogun
Change owner(s): Björn Esser <besser82(a)fedoraproject.org>
SHOGUN is a large Scale Machine Learning Toolbox, being implemented in C++ and
offering interfaces to C#, Java, Lua, Octave, Perl, Python, R and Ruby.
== Detailed Description ==
* Homepage: The SHOGUN Machine Learning Toolbox [1]
* SCM-repo: on GitHub [2]
* Documentation: is available here [3]
* further Information: on Wikipedia [4]
The machine learning toolbox's focus is on large scale kernel methods and
especially on Support Vector Machines (SVM). It provides a generic SVM object
interfacing to several different SVM implementations, among them the state of
the art LibSVM. Each of the SVMs can be combined with a variety of kernels.
The toolbox not only provides efficient implementations of the most common
kernels, like the Linear, Polynomial, Gaussian and Sigmoid Kernel but also
comes with a number of recent string kernels as e.g. the Locality Improved,
Fischer, TOP, Spectrum, Weighted Degree Kernel (with shifts). For the latter
the efficient LINADD optimizations are implemented. Also SHOGUN offers the
freedom of working with custom pre-computed kernels. One of its key features
is the "combined kernel" which can be constructed by a weighted linear
combination of a number of sub-kernels, each of which not necessarily working
on the same domain. An optimal sub-kernel weighting can be learned using
Multiple Kernel Learning. Currently SVM 2-class classification and regression
problems can be dealt with. However SHOGUN also implements a number of linear
methods like Linear Discriminant Analysis (LDA), Linear Programming Machine
(LPM), (Kernel) Perceptrons and features algorithms to train hidden Markov-
models. The input feature-objects can be dense, sparse or strings and of type
int/short/double/char and can be converted into different feature types.
Chains of "pre-processors" (e.g. subtracting the mean) can be attached to each
feature object allowing for on-the-fly pre-processing.
== Scope ==
* Proposal owners: Create the rpm-spec and file a review bug. Have the package
build after review was granted.
* Other developers: N/A (not a System Wide Change)
* Release engineering: N/A (not a System Wide Change)
* Policies and guidelines: N/A (not a System Wide Change)
[1]
http://shogun-toolbox.org/
[2]
https://github.com/shogun-toolbox/shogun
[3]
http://shogun-toolbox.org/doc/en/current/
[4]
http://en.wikipedia.org/wiki/Shogun_%28toolbox%29