Source: liblinear Section: libs Priority: optional Maintainer: Christian Kastner Uploaders: Chen-Tse Tsai Build-Depends: debhelper-compat (= 12), libblas-dev Build-Depends-Indep: dh-python, python-all (>= 2.6.6-3~), python3-all, Rules-Requires-Root: no Standards-Version: 4.3.0 Homepage: https://www.csie.ntu.edu.tw/~cjlin/liblinear/ Vcs-Git: https://salsa.debian.org/science-team/liblinear.git Vcs-Browser: https://salsa.debian.org/science-team/liblinear Package: liblinear-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, liblinear3 (= ${binary:Version}), libblas-dev | libblas.so Description: 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. Package: liblinear3 Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${shlibs:Depends}, ${misc:Depends} Suggests: liblinear-tools (= ${binary:Version}), liblinear-dev (= ${binary:Version}) Description: 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. Package: liblinear-tools Section: science Architecture: any Multi-Arch: foreign Depends: ${shlibs:Depends}, ${misc:Depends}, liblinear3 (= ${binary:Version}) Suggests: libsvm-tools Description: 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. Package: python-liblinear Section: python Architecture: all Depends: ${python:Depends}, ${misc:Depends}, liblinear3 (>= ${binary:Version}), liblinear3 (<< ${binary:Version}.1~) Description: Python 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 bindings. Package: python3-liblinear Section: python Architecture: all Depends: ${python3:Depends}, ${misc:Depends}, liblinear3 (>= ${binary:Version}), liblinear3 (<< ${binary:Version}.1~) Description: 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.