-lIBLINEAR is a simple package for solving large-scale regularized linear
+LIBLINEAR is a simple package for solving large-scale regularized linear
classification and regression. It currently supports
- L2-regularized logistic regression/L2-loss support vector classification/L1-loss support vector classification
- L1-regularized L2-loss support vector classification/L1-regularized logistic regression
% This part is for MATLAB\r
% Add -largeArrayDims on 64-bit machines of MATLAB\r
else\r
- mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims libsvmread.c\r
+ mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims libsvmread.c\r
mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims libsvmwrite.c\r
mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims train.c linear_model_matlab.c ../linear.cpp ../tron.cpp "../blas/*.c"\r
mex CFLAGS="\$CFLAGS -std=c99" -largeArrayDims predict.c linear_model_matlab.c ../linear.cpp ../tron.cpp "../blas/*.c"\r