3.24: 2019/9/11
fix compiling issues in matlab/Makefile: use mex only rather than build some .o files separately
python interface:
use array for reading data in python/commonutil.py to lower the memory usage
fix a bug in python/commonutil.py for reading pre-computed kernel
minor improvements and bug fixes
3.23: 2018/7/15
add more digits of predicted file, model file, scaled data and data from matlab libsvmwrite: to %.17g
revise svm-scale.c so features in test data that do not appear in training data are scaled to zero.
remove unnecessary tab or space in all files
python interface:
add Scipy support
add scaling (csr_find_scale_param and csr_scale functions)
put some utility functions identical in LIBLINEAR to commonutil.py.
functions for scaling are put in commonutil.py.
sort column indices of csr matrix before training as feature indices must be ascending
convert Qt version of svm-toy from Qt4 to Qt5
remove gtk svm-toy because we stop maintaining this tool
minor improvement of descriptions in README
3.22: 2016/12/22
probability output:
if 2 classes, directly output the predited probabilities
rather than run the iterative algorithms for multi-class situations
3.21: 2015/12/14
pre-built windows exe files changed from 32 to 64 bit
matlab interface:
now use #include "../svm.h"
fix some minor issues in make.m of matlab interface
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-
SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class
SVM). It supports multi-class classification.
