liblinear 2.3.0+dfsg-5build1 source package in Ubuntu
Changelog
liblinear (2.3.0+dfsg-5build1) noble; urgency=high * No change rebuild against frame pointers and time_t. -- Julian Andres Klode <email address hidden> Mon, 22 Apr 2024 11:45:51 +0200
Upload details
- Uploaded by:
- Julian Andres Klode
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- libs
- Urgency:
- Very Urgent
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | libs | |
| Noble | release | universe | libs |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| liblinear_2.3.0+dfsg.orig.tar.xz | 48.3 KiB | 8e3b935fdf638c6269111f0c9f3da6a8074b2b34c640f24108f38a13322d9039 |
| liblinear_2.3.0+dfsg-5build1.debian.tar.xz | 16.5 KiB | d87721c39b2dc9733ef7fdb2eb9553ed83cd373c74d2b9da6db4876f9c7f1109 |
| liblinear_2.3.0+dfsg-5build1.dsc | 2.4 KiB | 568246b12e7991613362a08c918d9c182ed905a8e3e3eba9ed880de7217d3327 |
Available diffs
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.
