This package provides 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.
Development versions of BLFS may not build or run some packages properly if LFS or dependencies have been updated since the most recent stable versions of the books.
After updating this package from liblinear-247 or earlier, you need to reinstall Nmap-7.99 in order to link to the new library.
下载地址(HTTP):https://github.com/cjlin1/liblinear/archive/v250/liblinear-250.tar.gz
MD5 校验和:53ffb394295c7f766adc200a603d6e0d
大小:76 KB
预计所需磁盘空间:712 KB
预计构建时间:小于 0.1 SBU
Install liblinear by running the following commands:
make lib
This package does not come with a test suite.
Now, as the root user:
install -vm644 linear.h /usr/include && install -vm755 liblinear.so.6 /usr/lib && ln -sfv liblinear.so.6 /usr/lib/liblinear.so