#made by PERMON team

easyblock = 'MakeCp'

name = 'LIBLINEAR'
version = '2.11'

homepage = 'http://www.csie.ntu.edu.tw/~cjlin/liblinear/'
description = """LIBLINEAR is a simple package for solving large-scale regularized linear
classification and regression. It supports L2-regularized logistic regression, L2-loss support vector classification
L1-loss support vector classification, L1-regularized L2-loss support vector classification, L1-regularized logistic regression
L2-regularized L2-loss support vector regression, L1-loss support vector regression."""

toolchain = {'name': 'intel', 'version': '2017a'}

source_urls = [homepage]
sources = [SOURCELOWER_TAR_GZ]

files_to_copy = [(['train', 'predict'], 'bin')]

sanity_check_paths = {
    'files': ['bin/%s' % x for x in ['train', 'predict']],
    'dirs': [],
}

modextrapaths = {
    'PATH': ['bin'],
}

moduleclass = 'numlib'
