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SPArse Modeling Software
now open-source!
Downloads
The toolbox was successfully tested with gcc-4.6, the intel compiler version 12 and visual studio compiler 10, and the BLAS/LAPACK library atlas, Intel MKL and AMD ACML.The best performance was obtained using the Intel compiler + Intel MKL under Linux. Since the toolbox was mostly tested with Matlab under Linux, please use the matlab Linux 64bits version if you want to report speed results.
To use SPAMS with matlab R2011a and later, do not forget to run the command setenv('MKL_NUM_THREADS','1') before using SPAMS.
Starting from version 2.2, the project files are hosted on INRIA Gforge. If you are interested in more information, svn access, click here.
Version: 2.3
- Tar-gzipped, sources, matlab interface,
- Tar-gzipped, sources, R interface,
- Tar-gzipped, sources, python interface,
- exe, binary windows 64 bits package for R, with instructions,
- exe, binary windows 32bits package for Python, with instructions,
- exe, binary windows 64bits package for Python, with instructions,
+ new documentation.
+ new functionalities for omp, ompmask and trainDL.
+ feature selection tools for graphs (in the matlab version).
+ a few bug corrections.
Version: 2.2
- Tar-gzipped, sources, matlab interface,
- Tar-gzipped, sources, R interface,
- Tar-gzipped, sources, python interface,
+ R and Python interface developed by Jean-Paul Chieze (INRIA).
+ Windows 64bits compatibility thanks to some advices from Alex Bronstein and Min-Hyuk Sung.
+ easier compilation scripts for Linux/Mac OS/Windows 32 and 64 bits, compatible with gcc/icc/vcc, and different BLAS/LAPACK libraries.
+ Trace Norm regularization has been added to proximal toolbox.
+ New options have been added to the algorithm FISTA.
+ A few bug corrections.
Version: 2.1
- Tar-gzipped, sources,
- Tar-gzipped, Linux 64bits, Intel Compiler, MKL,
+ Bug corrected in mexLasso, when reaching the end of the regularization path. Numerical Stability has been improved.
Version: 2.0
- Tar-gzipped, Linux 64bits, Intel Compiler, MKL,
- Tar-gzipped, Linux 64bits, GNU Compiler, ATLAS,
- Tar-gzipped, Linux 32bits, Intel Compiler, MKL,
- Tar-gzipped, Linux 32bits, GNU Compiler, ATLAS,
- Tar-gzipped, Mac OS 32bits, Intel Compiler, MKL,
- Tar-gzipped, Mac OS 64bits, Intel Compiler, MKL,
+ Proximal Toolbox
Version: 1.02
- Tar-gzipped, Linux 64bits, Intel Compiler, MKL,
- Tar-gzipped, Linux 64bits, GNU Compiler, ATLAS,
- Tar-gzipped, Linux 32bits, Intel Compiler, MKL,
- Tar-gzipped, Linux 32bits, GNU Compiler, ATLAS,
- Tar-gzipped, Mac OS 32bits, Intel Compiler, MKL,
- Tar-gzipped, Mac OS 64bits, Intel Compiler, MKL,
- Tar-gzipped, Windows 32bits, Intel Compiler, MKL,
+ Elastic-Net, a few heuristics are added.
Warning: the file test_TrainDL in the win32 version was incorrect. This has been corrected.
Warning: It seems that Matlab >= R2009b is required for the win32 version.
Version: 1.01
- Tar-gzipped, Linux 64bits, Intel Compiler, MKL,
- Tar-gzipped, Linux 64bits, GNU Compiler, ATLAS,
- Tar-gzipped, Linux 32bits, Intel Compiler, MKL,
- Tar-gzipped, Linux 32bits, GNU Compiler, ATLAS,
- Tar-gzipped, Mac OS 32bits, Intel Compiler, MKL,
- Tar-gzipped, Mac OS 64bits, Intel Compiler, MKL,
+ functions are robust to bad input parameters.