liblinear 2.3.0+dfsg-2 source package in Ubuntu
Changelog
liblinear (2.3.0+dfsg-2) unstable; urgency=medium * gbp.conf: Drop upstream-tag remnant from earlier setup -- Christian Kastner <email address hidden> Thu, 31 Oct 2019 10:57:42 +0100
Upload details
- Uploaded by:
- Christian Kastner
- Uploaded to:
- Sid
- Original maintainer:
- Christian Kastner
- Architectures:
- any all
- Section:
- libs
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| liblinear_2.3.0+dfsg-2.dsc | 2.3 KiB | 1205b51817c9ea46a7c74863699f1e4a02cc3000ec8e9544e971029cac1f696b |
| liblinear_2.3.0+dfsg.orig.tar.xz | 48.3 KiB | 8e3b935fdf638c6269111f0c9f3da6a8074b2b34c640f24108f38a13322d9039 |
| liblinear_2.3.0+dfsg-2.debian.tar.xz | 13.2 KiB | 613060019df37d424c420ca96bb27c41532d12602f0446aa913bd20b3fa8e83a |
Available diffs
- diff from 2.1.0+dfsg-4 to 2.3.0+dfsg-2 (34.7 KiB)
- diff from 2.3.0+dfsg-1 to 2.3.0+dfsg-2 (430 bytes)
No changes file available.
Binary packages built by this source
- liblinear-dev: 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-tools: Standalone applications 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. It also provides Python bindings.
.
This package contains the standalone applications.
- liblinear-tools-dbgsym: debug symbols for liblinear-tools
- liblinear4: Library for Large Linear Classification
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. It also provides Python bindings.
.
This package contains the shared libraries.
- liblinear4-dbgsym: debug symbols for liblinear4
- python-liblinear: No summary available for python-liblinear in ubuntu focal.
No description available for python-liblinear in ubuntu focal.
- python3-liblinear: Python 3 bindings 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. It also provides Python bindings.
.
This package contains the Python 3 bindings.
