Package: python-shogun (3.2.0-5.2)
Links for python-shogun
Debian Resources:
Download Source Package 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]
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 package contains the static and the modular Python interfaces.
Other Packages Related to python-shogun
|
|
|
|
-
- dep: libc6 (>= 2.1.3) [i386]
- GNU C-bibliotek: Delte biblioteker
also a virtual package provided by libc6-udeb
- dep: libc6 (>= 2.14) [amd64]
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.4) [armhf]
-
- dep: libgcc1 (>= 1:4.1.1) [amd64, i386]
- GCC støttebibliotek
- dep: libgcc1 (>= 1:4.4.0) [armhf]
- dep: libgcc1 (>= 1:4.7) [arm64]
-
- dep: libpython2.7 (>= 2.7)
- Delt Pythonkørselstidsbibliotek - version 2.7
-
- dep: libshogun16
- Large Scale Machine Learning Toolbox
-
- dep: libstdc++6 (>= 4.5)
- GNU Standard C++ bibliotek v3
-
- dep: python (<< 2.8)
- Interaktivt objektorienteret sprog på højt niveau - Python 2-version
- dep: python (>= 2.7)
-
- dep: python-numpy (>= 1:1.8.0)
- Numerisk Python tilføjer en hurtig vektor-/array-facilitet til Pythonsproget
-
- dep: python-numpy-abi9
- virtual package provided by python-numpy
-
- rec: python-matplotlib
- Pythonbaseret plotsystem i en stil der ligner Matlab
-
- rec: python-scipy
- Videnskabelige værktøjer for Python
Download python-shogun
Architecture | Package Size | Installed Size | Files |
---|---|---|---|
amd64 | 3,379.9 kB | 18,825.0 kB | [list of files] |
arm64 | 3,002.2 kB | 19,041.0 kB | [list of files] |
armhf | 3,053.0 kB | 14,376.0 kB | [list of files] |
i386 | 3,233.2 kB | 17,101.0 kB | [list of files] |