NEWS

LiblineaR 2.10.24

Updated calls in cpp files to match RS.h headers (Free -> R_Free, Realloc -> R_Realloc, Calloc -> R_Calloc).

Security patch: Better format input of Rprintf by providing a string literal in tron.cpp and linear.cpp
Update in CITATION and DESCRIPTION to comply with new formatting specifications

Added compatibility with sparse matrices of class gdTMatrix from package Matrix. Tests updated accordingly.
Added compatibility with sparse matrices of class matrix.csc and matrix.coo from package SparseM. Tests updated accordingly.
Updating CITATION to reflect contributions from all co-autors.
Update in C code: Corrected declaration of two C prototypes; Replacement of sprintf by vsnprintf.
Bug fixing: Removed two unwanted calls to browser() in R tests;
Reformatting this NEWS file.

Added compatibility with sparse matrices of class gdCMatrix and dgRMatrix from package Matrix. As a consequence, package Matrix has been added to 'Suggests' in DESCRIPTION file. Compatibility with matrix.csr from package SparseM is still supported. The type of matrix (dense or either type of sparse matrix) is detected automatically. Signatures of functions LiblineaR and predict are unchanged.
Package now imports methods package (to support use of 'as' function in order to convert from some matrix formats to others).
Corrected a few typos in comments

Upgraded to LIBLINEAR version 2.10, including cross-validation procedure to find parameter C.
Two extra arguments in the LiblineaR function.
Argument bias from LiblineaR function can now be given as a numeric, allowing to tune the value of the additional bias feature. This change is backwards-compatible with the previous use of booleans.

Upgraded to LIBLINEAR version 1.94, including support vector *regression*
argument labels of function LiblineaR was renamed as target. The old naming is still accepted with a warning
argument type of function LiblineaR may take extra values (11,12,13)
extra argument svr_eps of function LiblineaR for the tolerance of regression loss
if class labels are -1 and 1, ensure that positive decision values represent the class 1
enriched examples, with cases of regression
Fix CITATION file format to satisfy CRAN requirements
Cleaning and reformatting of man pages
Fixing a bug in class labels ordering

Shortened examples runtime.
Uniformized notations in DESCRIPTION file for LiblineaR (this package) and LIBLINEAR (the C/C++ library wrapped by this package).

Replaced all expressions: rand()%(a-b); by GetRNGstate(); (int) (unif_rand()*(a - b))%(a - b);PutRNGstate(); in linear.cpp, where a and b might take different values.

Corrected a bug in memory allocation for sparse matrices: src/trainLinear.c. These changes are to be credited to Christian Wolf.
Added a PACKAGE argument to speed up call to .C(...)

Modification of various files in order to support sparse matrices. These changes are mainly to be credited to Kai-Hsiang Hsu, from the Department of Computer Science of the National Taiwan University.
Addition of examples to reflect the use of sparse matrices in LiblineaR.Rd

Incorporate changes from LIBLINEAR versions 1.51 to 1.80
Use set_print_string_function to set the print function
Add free_model_content and free_and_destroy_model functions (avoid memory problem if users declare a model variable)
Add check_probability_model (consistent with libsvm)
A new solver: coordinate descent for dual logistic regression
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).
predict.LiblineaR function can return additional information: probabilities (only for logistic regression models) or decision values