Package: liblinear4 (2.3.0+dfsg-5 and others) [debports]
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- Homepage [www.csie.ntu.edu.tw]
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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.
Other Packages Related to liblinear4
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- dep: libblas3
- Implementace Basic Linear Algebra Reference, sdílená knihovna
- or libblas.so.3
- virtual package provided by libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.38)
- Knihovna GNU C: Sdílené knihovny
also a virtual package provided by libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- Knihovna pro překladač GCC
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- dep: libstdc++6 (>= 5)
- GNU Standard C++ Library v3
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- sug: liblinear-dev (= 2.3.0+dfsg-5+b1)
- Development libraries and header files for LIBLINEAR
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- sug: liblinear-tools (= 2.3.0+dfsg-5+b1)
- Standalone applications for LIBLINEAR
Download liblinear4
Architecture | Version | Package Size | Installed Size | Files |
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ppc64 (unofficial port) | 2.3.0+dfsg-5+b1 | 44.3 kB | 164.0 kB | [list of files] |