VILMA is a algorithm for learning of ordinal classifier from interval annotations.
Authors:
- K.Antoniuk [email protected]
- V.Franc [email protected]
- V.Hlavac [email protected]
VILMA is implemented in C++. Internal optimization problem is solved using Oracle
Based Optimization Engine (OBOE) implementation of Analytic Center Cutting Plane Method (ACCPM)
as a part of COmputatiomal INfrastructure for Operations Research (COIN-OR).
As for Bundle Method Risk Minimization (BMRM) we use implementation from the SHOGUN <http://www.shogun-toolbox.org>_ mahine learning toolbox.
To build VILMA you must have installed the follwing software on your PC:
- BLAS
- LAPACK
- Lapackpp
- aclocal
- autoconf
- cmake
To grab code make git clone [email protected]:K0stIa/VILMA.git
.. code:: bash
mkdir build && cd build
cmake -DOBOE=/path/to/oboe/lib -DLAPACKPP=/path/to/lapackpp/lib -DCMAKE_CXX_COMPILER=${Your compiler >= gcc-4.7} ..
make
cd ..
Tested with cmake (>= 2.8)
You need to have installed ACCPM OBOE library from the next section.
We have addopted original a bit outdated implementation of ACCPM <https://projects.coin-or.org/OBOE>_ for VILMA.
..
svn co https://projects.coin-or.org/svn/OBOE/releases/1.0.3 oboe.
We have published modified code at Github <https://github.com/K0stIa/OBOE>_.
Make git clone [email protected]:K0stIa/OBOE.git to grab modified code.
To run OBOE for ACCPM you must have following packages installed on your machine:
To install modified version, first you have to install following required packages:
- BLAS
- LAPACK
Lapackpp <http://lapackpp.sourceforge.net>_- aclocal
- autoconf
install.sh <https://github.com/K0stIa/OBOE/blob/master/install.sh>_ script installs ACCPM assuming you have all requireed software
VILMA installation is tested on MacOs Yosemite 10.10.5 and Gentoo Base System release 2.1.