alle opties
jessie  ] [  buster  ] [  sid  ]
[ Bron: python-shogun  ]

Pakket: python-shogun-dbg (3.2.0-4)

Verwijzigingen voor python-shogun-dbg

Screenshot

Debian bronnen:

Het bronpakket python-shogun downloaden:

Beheerder:

Externe bronnen:

Vergelijkbare pakketten:

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.

Andere aan python-shogun-dbg gerelateerde pakketten

  • depends
  • recommends
  • suggests
  • enhances

python-shogun-dbg downloaden

Pakket downloaden voor alle beschikbare platforms
Platform Pakketgrootte Geïnstalleerde grootte Bestanden
amd64 3.477,8 kB5.910,0 kB [overzicht]
armel 3.589,9 kB6.329,0 kB [overzicht]
armhf 3.614,2 kB6.354,0 kB [overzicht]
i386 3.443,0 kB5.678,0 kB [overzicht]