This is the source code of the software (you can use the precompiled toolbox or compile the sources before using it). There are several possible configurations. In particular, - it should work with 32 and 64 bits operating systems. - Linux, Windows (at least for version <= 2.5) and Mac OS. - it can use either the netlib blas/lapack library, or the intel mkl library, or your favorite BLAS library (ACML for instance). - it can be compiled using either gcc for Linux and Mac (a recent gcc >= 4.5 is recommended), Microsoft visual studio compiler for Windows and the intel compiler for all platforms. - it can either be used as a C++ library, or interfaced with Matlab, and it now comes with a preliminary R/Python interface. # SPAMS-2.6 SPAMS is now available in version 2.6 ## Matlab users ### Precompiled toolbox You can use the precompiled toolbox `spams-matlab-precompiled-v2.6-%LAST_DATE%-%OS%.tar.gz` for Linux or MacOS. You extract the tarball and run Matlab in the current directory. You have to use the command `start_spams` in Matlab to load the precompiled functions. [HOW_TO_USE.txt](./HOW_TO_USE.txt) for details. The precompiled version for MacOS was compiled on MacOS X Maverick (10.9.5), please let us know if you encounter any issues on more recent MacOS version. At the moment, no precompiled version is available for Windows users, we are currently working on it. ### DISCLAIMER In the MacOS precompiled version, the multi-threading with OpenMP is not available (not supported by the compiler clang at the moment). To enable multi-threading, you will have to compile the library (c.f. below) with a different compiler (e.g. gcc, intel or clang-omp). ### Building the library (more advanced users) The best way to compile the library is to open the file [compile.m](./compile.m) and follow instructions. You can modify the beginning of the file to choose the compiler, the blas library, set some options and the different paths, then run `compile.m` in Matlab. After all the mex-files are compiled, a script run_matlab.sh is also created, at least for the Linux and/or Mac OS version. Depending on your configuration, it might be necessary to launch Matlab with the script in order to use the toolbox (in order to preload multi-threading libraries). Otherwise, just type "start_spams;" and use the SPAMS library. ## R/Python For R/Python users, an interface with some instructions is available in the folder [swig](./swig)
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