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The machine-learning toolbox's focus is on large-scale kernel methods

The machine-learning toolbox's focus is on large-scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, among them the state of the art OCAS, LibSVM, SVMLight, SVMLin and GPDT.

Version: 2.1.0 License: GPL-3

GitHub

Maintainers	No Maintainer
Categories	science math
Homepage	http://shogun-toolbox.org
Platforms	darwin
Variants	csharp (Build the C# API) elwms (Build the elwms (eierlegende wollmilchsau) interface. Requires python plus one other interface) g95 (Build using the g95 Fortran compiler) gcc10 (Build using the MacPorts gcc 10 compiler) gcc11 (Build using the MacPorts gcc 11 compiler) gcc12 (Build using the MacPorts gcc 12 compiler) gcc13 (Build using the MacPorts gcc 13 compiler) gccdevel (Build using the MacPorts gcc devel compiler) hmm_parallel (Enable parallel structures in hmm training) java (Build the Java API) lua (Build the Lua API) octave (Build the Octave API) perl (Build the Perl API) python27 (Use Python 2.7 for python bindings) r (Build the R API) ruby (Build the Ruby API)

"shogun" depends on

lib (15)

arpack

atlas

bzip2

eigen3

glpk

gzip

hdf5

json-c

libgcc

libxml2

lp_solve

lzo2

readline

snappy

build (3)

clang-16

gcc13

pkgconfig

Ports that depend on "shogun"

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Error: livecheck failed for shogun: extracted version '1.0.0.' is older than livecheck.version '2.1.0'

last updated: 16 hours ago

shogun (math/shogun) Add to my watchlist 0