1 <?xml version="1.0" encoding="UTF-8"?>
2 <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
4 <maintainer type="project">
5 <email>sci@gentoo.org</email>
6 <name>Gentoo Science Project</name>
8 <longdescription lang="en">
9 SHOGUN - is a new machine learning toolbox with focus on large
10 scale kernel methods and especially on Support Vector Machines
11 (SVM) with focus to bioinformatics. It provides a generic SVM
12 object interfacing to several different SVM implementations. Each
13 of the SVMs can be combined with a variety of the many kernels
14 implemented. It can deal with weighted linear combination of a
15 number of sub-kernels, each of which not necessarily working on the
16 same domain, where an optimal sub-kernel weighting can be learned
17 using Multiple Kernel Learning. Apart from SVM 2-class
18 classification and regression problems, a number of linear methods
19 like Linear Discriminant Analysis (LDA), Linear Programming Machine
20 (LPM), (Kernel) Perceptrons and also algorithms to train hidden
21 markov models are implemented. The input feature-objects can be
22 dense, sparse or strings and of type int/short/double/char and can
23 be converted into different feature types. Chains of preprocessors
24 (e.g. substracting the mean) can be attached to each feature object
25 allowing for on-the-fly pre-processing.
28 <flag name="R">Enable support for <pkg>dev-lang/R</pkg></flag>
29 <flag name="octave">Enable support for <pkg>sci-mathematics/octave</pkg></flag>
30 <flag name="opencl">Enable support for building against OpenCL</flag>