shogun-elwms-static 1.1.0-4ubuntu6 (armhf binary) in ubuntu raring
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/
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 is the
eierlegendewol
commands to R, Octave and Python all at once.
Details
- Package version:
- 1.1.0-4ubuntu6
- Status:
- Obsolete
- Component:
- universe
- Priority:
- Optional
Downloadable files
- shogun-elwms-static_1.1.0-4ubuntu6_armhf.deb (56.1 KiB)
Package relationships
- Conflicts:
- Replaces: