Package: shogun-doc-cn (3.2.0-8)
Links for shogun-doc-cn
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Download Source Package shogun:
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External Resources:
- Homepage [www.shogun-toolbox.org]
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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.
Other Packages Related to shogun-doc-cn
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- rec: libshogun-dev
- Large Scale Machine Learning Toolbox
Download shogun-doc-cn
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| all | 27,795.9 kB | 238,598.0 kB | [list of files] |