软件包：python-shogun-dbg（3.2.0-5.2）
python-shogun-dbg 的相关链接
Debian 的资源：
下载源码包 python-shogun：
- [python-shogun_3.2.0-5.2.dsc]
- [python-shogun_3.2.0.orig.tar.xz]
- [python-shogun_3.2.0-5.2.debian.tar.xz]
维护者：
外部的资源：
- 主页 [www.shogun-toolbox.org]
相似软件包：
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.
其他与 python-shogun-dbg 有关的软件包
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- dep: python-shogun (= 3.2.0-5.2)
- Large Scale Machine Learning Toolbox