Paketti: shogun-doc-cn (3.2.0-7.5)
Links for shogun-doc-cn
Trisquel-palvelut:
Imuroi lähdekoodipaketti shogun:
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 is the Chinese user and developer documentation.
Muut pakettiin shogun-doc-cn liittyvät paketit
|
|
|
-
- rec: libshogun-dev
- Large Scale Machine Learning Toolbox
Imuroi shogun-doc-cn
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
---|---|---|---|
all | 22,602.9 kt | 237520 kt | [tiedostoluettelo] |