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