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Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression.
It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression.
It also provides an automatic model selection tool for C-SVM classification.
Provided files
libsvm: A simple, easy-to-use, and efficient software for SVM classification and regression
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression.It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression.
It also provides an automatic model selection tool for C-SVM classification.
| Name: | libsvm |
| Release: | 3.35-1mamba |
| Architecture: | x86_64 |
| Group: | Development/Libraries |
| Size: | 48.93 kB |
| Upstream URL: | https://www.csie.ntu.edu.tw/~cjlin/libsvm/ |
| Source RPM: | libsvm |
| Brothers | Provides | Obsoletes | Requires | Recommends |
|---|---|---|---|---|
| libsvm-devel libsvm-tools | liblinear.so.2()(64bit) libsvm = 0:3.35-1mamba libsvm(x86-64) = 0:3.35-1mamba | libc.so.6(GLIBC_2.38)(64bit) [1] libgcc_s.so.1()(64bit) [1] [2] libgcc_s.so.1(GCC_3.0)(64bit) [1] [2] libm.so.6()(64bit) [1] libm.so.6(GLIBC_2.2.5)(64bit) [1] libm.so.6(GLIBC_2.29)(64bit) [1] libstdc++.so.6()(64bit) [1] [2] libstdc++.so.6(CXXABI_1.3)(64bit) [1] [2] libstdc++.so.6(CXXABI_1.3.8)(64bit) [1] [2] libstdc++.so.6(CXXABI_1.3.9)(64bit) [1] [2] libstdc++.so.6(GLIBCXX_3.4)(64bit) [1] [2] rtld(GNU_HASH) [1] |
