liblinear 2.3.0+dfsg-3 source package in Ubuntu
Changelog
liblinear (2.3.0+dfsg-3) unstable; urgency=medium
* Team upload.
* Packages in Debian Science team should be maintained by
<email address hidden>
* Drop Python2 package (addresses: #936889)
* Rely on pre-initialized dpkg-architecture variables.
-- Andreas Tille <email address hidden> Sat, 21 Dec 2019 08:12:33 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- 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-3.dsc | 2.3 KiB | b8fe6747aac58095eef52f4059442ecf7b69ebf8c1dfbb4b61a7e8e7662ac278 |
| liblinear_2.3.0+dfsg.orig.tar.xz | 48.3 KiB | 8e3b935fdf638c6269111f0c9f3da6a8074b2b34c640f24108f38a13322d9039 |
| liblinear_2.3.0+dfsg-3.debian.tar.xz | 13.2 KiB | ce9e3fc170b39e422265f89f047b4462dfa0c5e1517c6bbcb09606c6a8c4b542 |
Available diffs
- diff from 2.3.0+dfsg-2 to 2.3.0+dfsg-3 (1.5 KiB)
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
- 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.
