Package: shogun-python (0.4.4-2ubuntu1) [universe]
Links for shogun-python
Ubuntu Resources:
Download Source Package shogun:
Maintainer:
Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.
Original Maintainers (usually from Debian):
- Soeren Sonnenburg
- Torsten Werner
It should generally not be necessary for users to contact the original maintainer.
External Resources:
- Homepage [www.shogun-toolbox.org]
Similar packages:
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 static Python package without using swig.
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Download shogun-python
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 1,215.3 kB | 3,300.0 kB | [list of files] |
| i386 | 1,234.5 kB | 3,324.0 kB | [list of files] |