套件： python-shogun (3.2.0-5.2build2)
python-shogun 的相關超連結
Trisquel 的資源：
下載原始碼套件 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]
維護者：
Original Maintainer:
- Soeren Sonnenburg
外部的資源：
- 主頁 [www.shogun-toolbox.org]
相似套件：
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.
其他與 python-shogun 有關的套件
|
|
|
-
- dep: libc6 (>= 2.23)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件提供： libc6-udeb
-
- dep: libgcc1 (>= 1:4.2)
- GCC support library
-
- dep: libpython2.7 (>= 2.7)
- Shared Python runtime library (version 2.7)
-
- dep: libshogun16
- Large Scale Machine Learning Toolbox
-
- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
-
- dep: python (<< 2.8)
- interactive high-level object-oriented language (default version)
- dep: python (>= 2.7)
-
- dep: python-numpy (>= 1:1.10.0~b1)
- Numerical Python adds a fast array facility to the Python language
-
- dep: python-numpy-abi9
- 本虛擬套件由這些套件提供： python-numpy
-
- rec: python-matplotlib
- Python based plotting system in a style similar to Matlab
-
- rec: python-scipy
- scientific tools for Python