Package: wnpp Severity: wishlist * Package name : shogun Version : 0.1.2 Upstream Author : Soeren Sonnenburg <[EMAIL PROTECTED]>, Gunnar Raetsch <[EMAIL PROTECTED]> * URL : http://www2.fml.tuebingen.mpg.de/raetsch/projects/shogun * License : GPL Programming Lang: C++ Description : Shogun - A Large Scale Machine Learning Toolbox
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. SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave and Python. -- System Information: Debian Release: testing/unstable APT prefers testing APT policy: (650, 'testing'), (600, 'unstable'), (1, 'experimental') Architecture: powerpc (ppc) Shell: /bin/sh linked to /bin/bash Kernel: Linux 2.6.17.4-sonne Locale: LANG=en_US.UTF-8, LC_CTYPE=en_US.UTF-8 (charmap=UTF-8) -- To UNSUBSCRIBE, email to [EMAIL PROTECTED] with a subject of "unsubscribe". Trouble? Contact [EMAIL PROTECTED]
