mloss.org MLPACK

MLPACK 3.0.2

Sat, 09 Jun 2018 18:03:57 -0000

mlpack is a fast, flexible C++ machine learning library. 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 also provides bindings to other languages.

The following methods are provided:

Approximate furthest neighbor search techniques
Collaborative Filtering (with NMF)
Decision Stumps
DBSCAN
Density Estimation Trees
Euclidean Minimum Spanning Trees
Fast Exact Max-Kernel Search (FastMKS)
Gaussian Mixture Models (GMMs)
Hidden Markov Models (HMMs)
Hoeffding trees (streaming decision trees)
Kernel Principal Components Analysis (KPCA)
K-Means Clustering
Least-Angle Regression (LARS/LASSO)
Local Coordinate Coding
Locality-Sensitive Hashing (LSH)
Logistic regression
Naive Bayes Classifier
Neighborhood Components Analysis (NCA)
Neural Networks (FFNs, CNNs, RNNs)
Nonnegative Matrix Factorization (NMF)
Perceptron
Principal Components Analysis (PCA)
QUIC-SVD
RADICAL (ICA)
Regularized SVD
Rank-Approximate Nearest Neighbor (RANN)
Simple Least-Squares Linear Regression (and Ridge Regression)
Sparse Autoencoder
Sparse Coding
Tree-based Neighbor Search (all-k-nearest-neighbors, all-k-furthest-neighbors), using either kd-trees or cover trees
Tree-based Range Search
and also more not listed here

Command-line executables are provided for each of these, and the C++ classes which define the methods are highly flexible, extensible, and modular. More information (including documentation, tutorials, and bug reports) is available at http://www.mlpack.org/.

Comment by Eileen on 2009-02-13 12:13

Eileen — Fri, 13 Feb 2009 12:13:23 -0000

having this problem when running fl-build-all

/bin/sh: g++4: not found make: * [$FASTLIBPATH/bin/i686Linuxfastgcc4-DDISABLEDISKMATRIX/obj/mlpackallnnmain.o] Error 127

and a whole lot of similar error

Am i missing something?

Comment by fastlab on 2009-02-14 03:55

fastlab — Sat, 14 Feb 2009 03:55:05 -0000

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

Comment by Paul Rodriguez on 2010-12-21 21:38

Paul Rodriguez — Tue, 21 Dec 2010 21:38:24 -0000

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 templatetypes [ 5%] Built target templatetypesdetect [ 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 otravtest [ 92%] Built target coltest [ 94%] Building CXX object fastlib/data/CMakeFiles/datasettest.dir/datasettest.cc.o Linking CXX executable datasettest /rmount/usrapps/compilers/intel/Compiler/11.1/038/lib/intel64/libguide.so: undefined reference to `pthreadatfork' collect2: ld returned 1 exit status make[2]: * [fastlib/data/datasettest] Error 1 make[1]: * [fastlib/data/CMakeFiles/datasettest.dir/all] Error 2 make: * [all] Error 2

Comment by Andreas Mueller on 2012-03-20 13:29

Andreas Mueller — Tue, 20 Mar 2012 13:29:07 -0000

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

Comment by Ryan Curtin on 2012-03-20 20:22

Ryan Curtin — Tue, 20 Mar 2012 20:22:49 -0000

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 (ARMADILLOINCLUDEDIR 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/