Development libraries and header files for LIBLINEAR
LIBLINEAR is a library for learning linear classifiers for large scale
applications. It supports Support Vector Machines (SVM) with L2 and L1
loss, logistic regression, multi class classification and also Linear
Programming Machines (L1-regularized SVMs). Its computational complexity
scales linearly with the number of training examples making it one of
the fastest SVM solvers around.
This package contains the header files and static libraries.
liblinear for Debian
For more information (including formulations) about LIBLINEAR, you are strongly
advised to read upstream's README file in /usr/share/doc/liblinear1/README.
To compile software against liblinear, you need to include "linear.h" and link
against liblinear with -llinear. When compiling statically, you must also
link against -lblas.
-- Christian Kastner <de
liblinear (1.8+dfsg-1) unstable; urgency=low
* New upstream release.
- Added Chen-Tse Tsai <email@example.com> to Uploaders
- Bumped Standards-Version to 3.9.2 (no changes needed)
- Dropped the override for dh_install in favor of python-liblinear.install
Previously, this was not possible because we had
Concerning upstream sources
No TODOs at this time.
Concerning Debian packaging
As a convenience to backporters, we remove the liblinear1.symbols file on
systems with a dpkg version earlier than 1.15.6. However, this should be
considered only a temporary measure, until a more satisfactory solution is
Browse inside liblinear-dev_1.8+dfsg-1_armel.deb
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