35 lines
1.6 KiB
Python
35 lines
1.6 KiB
Python
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class PyHdbscan(PythonPackage):
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"""HDBSCAN - Hierarchical Density-Based Spatial Clustering of
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Applications with Noise. Performs DBSCAN over varying epsilon
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values and integrates the result to find a clustering that gives
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the best stability over epsilon. This allows HDBSCAN to find
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clusters of varying densities (unlike DBSCAN), and be more robust
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to parameter selection. In practice this means that HDBSCAN
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returns a good clustering straight away with little or no
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parameter tuning -- and the primary parameter, minimum cluster
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size, is intuitive and easy to select. HDBSCAN is ideal for
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exploratory data analysis; it's a fast and robust algorithm that
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you can trust to return meaningful clusters (if there are any)."""
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homepage = "https://github.com/scikit-learn-contrib/hdbscan"
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url = "https://github.com/scikit-learn-contrib/hdbscan/archive/0.8.26.tar.gz"
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version("0.8.26", sha256="2fd10906603b6565ee138656b6d59df3494c03c5e8099aede400d50b13af912b")
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depends_on("py-setuptools", type="build")
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depends_on("py-cython@0.27:", type="build")
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depends_on("py-numpy@1.16.0:", type=("build", "run"))
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depends_on("py-scipy@0.9:", type=("build", "run"))
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depends_on("py-scikit-learn@0.17:", type=("build", "run"))
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depends_on("py-joblib", type=("build", "run"))
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depends_on("py-six", type=("build", "run"))
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