<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> <pkgmetadata> <herd>sci</herd> <longdescription lang="en"> SHOGUN - is a new machine learning toolbox with focus on large scale kernel methods and especially on Support Vector Machines (SVM) with focus to bioinformatics. It provides a generic SVM object interfacing to several different SVM implementations. Each of the SVMs can be combined with a variety of the many kernels implemented. It can deal with weighted linear combination of a number of sub-kernels, each of which not necessarily working on the same domain, where an optimal sub-kernel weighting can be learned using Multiple Kernel Learning. Apart from SVM 2-class classification and regression problems, a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to train hidden markov models are implemented. 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 preprocessors (e.g. substracting the mean) can be attached to each feature object allowing for on-the-fly pre-processing. </longdescription> <use> <flag name="arpack">Enable support for <pkg>sci-libs/arpack</pkg></flag> <flag name="glpk">Enable support for <pkg>sci-mathematics/glpk</pkg></flag> <flag name="json">Enable support for parsing JSON format</flag> <flag name="lpsolve">Enable support for Linear Programming Solver</flag> <flag name="R">Enable support for <pkg>dev-lang/R</pkg></flag> <flag name="octave">Enable support for <pkg>sci-mathematics/octave</pkg></flag> <flag name="snappy">Enable support for snappy compression</flag> <flag name="superlu">Enable support for <pkg>sci-libs/superlu</pkg></flag> </use> </pkgmetadata>