1.0: 2007/4/30, initial release. Support only logistic 
	regression. Called liblr in the beginning.

1.1: 2007/7/18, support l2loss SVM. Rename to liblinear
	split cpp file to tron.cpp and linear.cpp
	improve Makefile 
	svn version: 

1.2: 2007/12/17, support l1loss SVM.
	New coordinate descent method for L2loss and L1loss SVM
	tron: better stopping condition for unbalanced data
	matlab interface: row and column formats

1.21: 2007/12/18, 
	Windows binaries not updated in 1.2
	Fix an error of setting eps in matlab interface

1.22: 2008/1/12,
	Better shrinking
	Better way to calculate the final obj value

1.23: 2008/04/05
	New way to store w: [1..class|1..class|...]; faster testing
	Fix a matlab interface bug on handling the bias
	Support Octave interface

1.24: 2008/05/08
	Fix a matlab interface bug on handling multi-class data
	model.w is nr_classifier by n matrix (was n by nr_classifier)

1.3: 2008/06/02
	Support multi-class SVM via Crammer & Singer (the class MCSVM_CS)

1.31: 2008/06/06
	Remove wrongly included redundent files in 1.3

1.32: 2008/07/26
	Improve README following comments for the paper appearing in JMLR

1.33: 2008/09/21
	Improve the code to read data -> now much faster
	info() in linear.cpp becomes static
	Strict conversion check (-Wconversion) in Makefile

1.34: 2009/08/03
        Maximal number of iterations changed from 20,000 to 1,000
        train -q option (disable outputs)
	read_sparse changed to libsvmread; add libsvmwrite
        Add explanation of model structure in README
        Minor code cleanup and better error descriptions

1.4: 2009/08/24
	L1-regularized SVM and LR
	Rename solver names 

1.5: 2009/10/04
	Improve sufficient decrease condition of L1 solvers
	Set default -B -1 (i.e., no bias term)

1.51: 2009/12/20
	Column format used by L1r solvers have index start from 1
	GET(i) to get class weight for an instance; easily modified to support instance weight

1.6: 2010/06/20
	Use set_print_string_function to set the print function
	Add free_model_content and free_and_destroy_model functions (avoid memory problem is users declare a model variable)
	Add check_probability_model (consistent with libsvm)
	New Python interface (using ctypes)

1.7: 2010/09/13
	A new solver: coordinate descent for dual logistic regression

1.8: 2011/04/01
	New optimization method for l1-regularized logistic regression
	linear.cpp:
		Use 1-norm stopping condition for l1-regularized solvers
		newton_iter < l/10 replaced by newton_iter <= l/10
in l2r_lr_dual (for l < 10)
	train.c and predict.c
		Better format check in reading data labels
	Python interface:
		Rename linear.py and linearutil.py to liblinear.py and liblinearutil.py
		relative path to load *.dll and *.so
	MATLAB interface:
		Using mexPrintf() when calling info() in MATLAB interface.
		Use tron.o and linear.o in the parent directory (iinstead of regenerating them
		64- instead of 32-bit windows binary files are provided