The latest version of liblinear code can then windows and linux, liblinear compensate for the deficiencies of the libsvm, very suitable for handling large number of variables in a sample of data by not using the kernel algorithm, the computational efficiency is very high!

liblinear-1.9
.............\blas
.............\....\blasp.h
.............\....\dnrm2.c
.............\....\Makefile
.............\....\ddot.c
.............\....\dscal.c
.............\....\blas.h
.............\....\daxpy.c
.............\COPYRIGHT
.............\linear.h
.............\README
.............\Makefile.win
.............\train.c
.............\heart_scale
.............\tron.cpp
.............\Makefile
.............\linear.def
.............\windows
.............\.......\train.exe
.............\.......\predict.mexw64
.............\.......\train.mexw64
.............\.......\predict.exe
.............\.......\libsvmwrite.mexw64
.............\.......\libsvmread.mexw64
.............\.......\liblinear.dll
.............\linear.cpp
.............\predict.c
.............\tron.h
.............\python
.............\......\README
.............\......\liblinearutil.py
.............\......\Makefile
.............\......\liblinear.py
.............\matlab
.............\......\README
.............\......\linear_model_matlab.h
.............\......\train.c
.............\......\Makefile
.............\......\make.m
.............\......\libsvmread.c
.............\......\libsvmwrite.c
.............\......\predict.c
.............\......\run.m
.............\......\linear_model_matlab.c

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