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Diffstat (limited to 'sci-libs/shogun/metadata.xml')
| -rw-r--r-- | sci-libs/shogun/metadata.xml | 22 |
1 files changed, 0 insertions, 22 deletions
diff --git a/sci-libs/shogun/metadata.xml b/sci-libs/shogun/metadata.xml deleted file mode 100644 index b5cdff054..000000000 --- a/sci-libs/shogun/metadata.xml +++ /dev/null @@ -1,22 +0,0 @@ -<?xml version="1.0" encoding="UTF-8"?> -<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> -<pkgmetadata> -<herd>sci</herd> -<longdescription> - 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> -</pkgmetadata> |