软件包: python-shogun (3.2.0-5.2build2)
python-shogun 的相关链接
Trisquel 的资源:
下载源码包 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]
维护者:
Original Maintainer:
- Soeren Sonnenburg
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 static and the modular Python interfaces.
其他与 python-shogun 有关的软件包
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- dep: libc6 (>= 2.23)
- GNU C Library: Shared libraries
同时作为一个虚包由这些包填实: libc6-udeb
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- dep: libgcc1 (>= 1:4.2)
- GCC support library
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- dep: libpython2.7 (>= 2.7)
- Shared Python runtime library (version 2.7)
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- dep: libshogun16
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- dep: libstdc++6 (>= 5.2)
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- dep: python (<< 2.8)
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- dep: python-numpy (>= 1:1.10.0~b1)
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- dep: python-numpy-abi9
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- rec: python-matplotlib
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- rec: python-scipy
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