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| author |   Sebastien Fabbro <bicatali@gentoo.org> | 2012-06-14 17:16:03 +0000 |
|---|---|---|
| committer | Sebastien Fabbro <bicatali@gentoo.org> | 2012-06-14 17:16:03 +0000 |
| commit | 0d34f46d3d455fb2c1a0315519699040fcbbb9e6 (patch) | |
| tree | c192fd1f5d1f30c739d81046c6b1d8d34f720e25 /sci-libs/shogun/metadata.xml | |
| parent | Revbump for automake-1.12 fix, bug #420955. (diff) | |
| download | gentoo-2-0d34f46d3d455fb2c1a0315519699040fcbbb9e6.tar.gz gentoo-2-0d34f46d3d455fb2c1a0315519699040fcbbb9e6.tar.bz2 gentoo-2-0d34f46d3d455fb2c1a0315519699040fcbbb9e6.zip | |
Initial import
(Portage version: 2.1.10.63/cvs/Linux x86_64)
Diffstat (limited to 'sci-libs/shogun/metadata.xml')
| -rw-r--r-- | sci-libs/shogun/metadata.xml | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/sci-libs/shogun/metadata.xml b/sci-libs/shogun/metadata.xml new file mode 100644 index 000000000000..72a2a3c06a1a --- /dev/null +++ b/sci-libs/shogun/metadata.xml @@ -0,0 +1,34 @@ +<?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> |