Description:

MLPACK is a new, state-of-the-art, scalable C++ machine learning library, released in early December 2011. Its aim is to make large-scale machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. MLPACK provides many cutting-edge algorithms,including---but not limited to---tree-based k-nearest-neighbors, fast hierarchical clustering, MVU (maximum variance unfolding) with LRSDP, RADICAL (ICA),and HMMs. Each of these algorithms is highly flexible and configurable, and all ofthem can be configured to use sparse matrices for datasets. Benchmarks are shown to prove that MLPACK scales more effectively than competing toolkits. Future plans for MLPACK include support for parallel algorithms, support for disk-based datasets, as well as the implementation of a large collection ofcutting-edge algorithms. More information on MLPACK is available at theproject's website, which is located at http://www.mlpack.org.

Changes to previous version:

Yet another announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Plain Ascii, Ascii, Txt, Bin, Csv, Xml

Tags: Gmm, Hmm, Machine Learning, Sparse, Dual Tree, Fast, Scalable, Tree

Archive: download here

Comments

Eileen (on February 13, 2009, 12:13:23)

having this problem when running fl-build-all /bin/sh: g++4: not found make: *** [$FASTLIBPATH/bin/i686_Linux_fast_gcc4_-DDISABLE_DISK_MATRIX/obj/mlpack_allnn_main.o] Error 127 and a whole lot of similar error Am i missing something?

fastlab (on February 14, 2009, 03:55:05)

You need to install gcc 4. Which platform are you running on?

Paul Rodriguez (on December 21, 2010, 21:38:24)

Hi, I've set up the ccmake configuration options as appropriate but now I'm having trouble with the make command described below, thanks, Paul Rodriguez Using a santos linux, on an intel 64 bit processor, when I execute "make install" I get the following error regarding pthread_atfork: -- A library with BLAS API found. -- A library with BLAS API found. -- A library with LAPACK API found. -- Configuring done -- Generating done -- Build files have been written to: /users/sdsc/prodriguez/mlpack-0.2/fastlib/build [ 2%] Built target template_types [ 5%] Built target template_types_detect [ 17%] Built target base [ 20%] Built target col [ 23%] Built target file [ 30%] Built target fx [ 33%] Built target la [ 35%] Built target data [ 35%] Built target tree [ 43%] Built target math [ 46%] Built target par [ 87%] Built target fastlib [ 89%] Built target otrav_test [ 92%] Built target col_test [ 94%] Building CXX object fastlib/data/CMakeFiles/dataset_test.dir/dataset_test.cc.o Linking CXX executable dataset_test /rmount/usr_apps/compilers/intel/Compiler/11.1/038/lib/intel64/libguide.so: undefined reference to `pthread_atfork' collect2: ld returned 1 exit status make[2]: *** [fastlib/data/dataset_test] Error 1 make[1]: *** [fastlib/data/CMakeFiles/dataset_test.dir/all] Error 2 make: *** [all] Error 2

Andreas Mueller (on March 20, 2012, 13:29:07)

Two comments: 1) I have not found a way to contact the project on the project website. Having to come to mloss and logging in to contact the developers seems a bit weird. 2) mlpack does not seems to build with armadilla in a non-standard location. After trying to feed cmake the correct pathes for a while I gave up and installed globally. In particular, setting the paths in the CMake configuration doesn't help much. Would be cool if you could fix that. Cheers, Andy

Ryan Curtin (on March 20, 2012, 20:22:49)

Hello Andy, I've clarified www.mlpack.org a bit to note that the Trac site is where bugs can be filed. As for finding Armadillo, I have not had a problem doing the following (in this instance, I've got Armadillo 2.99.1 built in /home/ryan/src/armadillo-2.99.1/) `build$ cmake -D ARMADILLO_INCLUDE_DIR=/home/ryan/src/armadillo-2.99.1/build/ -D ARMADILLO_LIBRARY=/home/ryan/src/armadillo-2.99.1/libarmadillo.so ../` Did those two variables (ARMADILLO_INCLUDE_DIR and ARMADILLO_LIBRARY) not work for you? If you're still having problems (or have other problems) feel free to file a ticket at http://trac.research.cc.gatech.edu/fastlab/

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