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.
This package is known to build and work properly using an LFS 12.2 platform.
After updating this package from liblinear-1.96 or earlier, you need to reinstall Nmap-7.95, in order to link to the new library.
Download (HTTP): https://github.com/cjlin1/liblinear/archive/v247/liblinear-247.tar.gz
Download MD5 sum: 0c81dd2b2cabc4fba85f61b9dc51c4a3
Download size: 560 KB
Estimated disk space required: 1.6 MB
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.5 /usr/lib && ln -sfv liblinear.so.5 /usr/lib/liblinear.so