Paketti: python-shogun-dbg (3.2.0-5.2build2)
Links for python-shogun-dbg
Trisquel-palvelut:
Imuroi lähdekoodipaketti python-shogun:
- [python-shogun_3.2.0-5.2build2.dsc]
- [python-shogun_3.2.0.orig.tar.xz]
- [python-shogun_3.2.0-5.2build2.debian.tar.xz]
Ylläpitäjä:
Original Maintainer:
- Soeren Sonnenburg
External Resources:
- Kotisivu [www.shogun-toolbox.org]
Samankaltaisia paketteja:
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, Readline and Python. This package contains the debug symbols for the static and the modular Python interfaces.
Muut pakettiin python-shogun-dbg liittyvät paketit
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- dep: python-shogun (= 3.2.0-5.2build2)
- Large Scale Machine Learning Toolbox
Imuroi python-shogun-dbg
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
---|---|---|---|
amd64 | 2,537.1 kt | 5007 kt | [tiedostoluettelo] |
i386 | 2,541.2 kt | 4789 kt | [tiedostoluettelo] |