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adding easyconfigs: umap-learn-0.5.3-foss-2020b.eb
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easybuild/easyconfigs/u/umap-learn/umap-learn-0.5.3-foss-2020b.eb
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# Author: Denis Krišťák (INUITS) | ||
# This is a contribution from HPCNow! (http://hpcnow.com) | ||
# Update: Erica Bianco <[email protected]> | ||
# License:: GPL-v3.0 | ||
easyblock = "PythonBundle" | ||
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name = 'umap-learn' | ||
version = '0.5.3' | ||
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homepage = 'https://umap-learn.readthedocs.io/en/latest/' | ||
description = """ | ||
Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique | ||
that can be used for visualisation similarly to t-SNE, but also for general non-linear | ||
dimension reduction. | ||
""" | ||
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toolchain = {'name': 'foss', 'version': '2020b'} | ||
dependencies = [ | ||
('Python', '3.8.6'), | ||
('SciPy-bundle', '2020.11'), | ||
('scikit-learn', '0.23.2'), | ||
('numba', '0.53.1'), | ||
('LLVM', '11.0.0'), | ||
('tqdm', '4.56.2'), | ||
] | ||
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use_pip = True | ||
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exts_list = [ | ||
('pynndescent', '0.5.7', { | ||
'checksums': ['ecb395255fa36a748b5870b4ba0300ea0f7da8b1964864b8edd62577a84dfd7d'], | ||
}), | ||
(name, version, { | ||
'modulename': 'umap', | ||
'checksums': ['dbd57cb181c2b66d238acb5635697526bf24c798082daed0cf9b87f6a3a6c0c7'], | ||
}), | ||
] | ||
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sanity_pip_check = True | ||
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moduleclass = 'tools' |