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-7.97 in order to link to the new library.
Download (HTTP): https://github.com/cjlin1/liblinear/archive/v249/liblinear-249.tar.gz
Download MD5 sum: c7f82ba5b190265422a431a751b33bcd
Download size: 72 KB
Estimated disk space required: 788 KB
Estimated build time: less than 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