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31 lines
1.1 KiB
Plaintext
31 lines
1.1 KiB
Plaintext
easyblock = 'MakeCp'
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name = 'MPI-LIBLINEAR'
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version = '2.1-1'
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homepage = 'https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-liblinear/mpi/'
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description = """MPI LIBLINEAR is an extension of LIBLINEAR on distributed environments. The usage and the data format are the same as LIBLINEAR.
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It supports L2-regularized logistic regression, L2-regularized logistic regression, L2-regularized L2-loss linear SVM (primal trust-region Newton),
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L2-regularized L1-loss linear SVM (dual), L2-regularized logistic regression (primal limited common directions),
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L2-regularized L2-loss linear SVM (primal limited common directions). Module created by the PERMON Team (http://permon.it4i.cz)."""
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toolchain = {'name': 'intel', 'version': '2017a'}
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source_urls = [homepage]
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sources = [SOURCELOWER_ZIP]
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patches = ['INTEL_parallel-make.patch']
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files_to_copy = [(['train', 'predict', 'split.py'], 'bin')]
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sanity_check_paths = {
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'files': ['bin/%s' % x for x in ['train', 'predict', 'split.py']],
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'dirs': [],
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}
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modextrapaths = {
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'PATH': ['bin'],
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}
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moduleclass = 'numlib'
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