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Balík: python-shogun (3.2.0-5.2build2)

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.

Ostatné balíky súvisiace s balíkom python-shogun

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  • dep: libc6 (>= 2.23)
    GNU C Library: Shared libraries
    tiež virtuálny balík poskytovaný balíkom libc6-udeb
  • dep: libgcc1 (>= 1:4.0) [amd64]
    GCC support library
    dep: libgcc1 (>= 1:4.2) [i386]
  • 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
    virtuálny balík poskytovaný balíkom python-numpy

Stiahnuť python-shogun

Stiahnuť pre všetky dostupné architektúry
Architektúra Veľkosť balíka Nainštalovaná veľkosť Súbory
amd64 2,501.6 kB18928 kB [zoznam súborov]
i386 2,389.8 kB17214 kB [zoznam súborov]