shogun 3.2.0-7.3build4 source package in Ubuntu
Changelog
shogun (3.2.0-7.3build4) wily; urgency=medium * No-change rebuild for hdf5 soname change. -- Matthias Klose <email address hidden> Tue, 06 Oct 2015 12:25:15 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Wily
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Xenial | release | universe | science |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
shogun_3.2.0.orig.tar.xz | 3.7 MiB | 9ebb493bc56fb1c8c408e5c39da8aa75c767a9d64f8aae10d4fa9d280fa3f330 |
shogun_3.2.0-7.3build4.debian.tar.xz | 14.1 KiB | b82b8762b7e01fd7a70d3c4005350b05f97003a38d403340a6b41db67a9fedfb |
shogun_3.2.0-7.3build4.dsc | 2.7 KiB | 3870c7fb4b7e75e191016215bda173016f853c94a594ae45b5e7376f2f423643 |
Available diffs
- diff from 3.2.0-7.3build3 to 3.2.0-7.3build4 (311 bytes)
Binary packages built by this source
- libshogun-dbg: No summary available for libshogun-dbg in ubuntu yakkety.
No description available for libshogun-dbg in ubuntu yakkety.
- libshogun-dev: No summary available for libshogun-dev in ubuntu wily.
No description available for libshogun-dev in ubuntu wily.
- libshogun-dev-dbgsym: debug symbols for package libshogun-dev
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
includes the developer files required to create stand-a-lone executables.
- libshogun16: No summary available for libshogun16 in ubuntu yakkety.
No description available for libshogun16 in ubuntu yakkety.
- libshogun16-dbgsym: No summary available for libshogun16-dbgsym in ubuntu wily.
No description available for libshogun16-dbgsym in ubuntu wily.
- shogun-cmdline-static: 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 is the Readline
package.
- shogun-cmdline-static-dbgsym: No summary available for shogun-cmdline-static-dbgsym in ubuntu wily.
No description available for shogun-
cmdline- static- dbgsym in ubuntu wily.
- shogun-doc-cn: No summary available for shogun-doc-cn in ubuntu wily.
No description available for shogun-doc-cn in ubuntu wily.
- shogun-doc-en: No summary available for shogun-doc-en in ubuntu wily.
No description available for shogun-doc-en in ubuntu wily.