py-hdbscan (#19428)

var/spack/repos/builtin/packages/py-hdbscan/package.py

@@ -0,0 +1,31 @@
+# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+
+class PyHdbscan(PythonPackage):
+    """HDBSCAN - Hierarchical Density-Based Spatial Clustering of
+    Applications with Noise. Performs DBSCAN over varying epsilon
+    values and integrates the result to find a clustering that gives
+    the best stability over epsilon. This allows HDBSCAN to find
+    clusters of varying densities (unlike DBSCAN), and be more robust
+    to parameter selection. In practice this means that HDBSCAN
+    returns a good clustering straight away with little or no
+    parameter tuning -- and the primary parameter, minimum cluster
+    size, is intuitive and easy to select.  HDBSCAN is ideal for
+    exploratory data analysis; it's a fast and robust algorithm that
+    you can trust to return meaningful clusters (if there are any)."""
+
+    homepage = "https://github.com/scikit-learn-contrib/hdbscan"
+    url      = "https://github.com/scikit-learn-contrib/hdbscan/archive/0.8.26.tar.gz"
+
+    version('0.8.26', sha256='2fd10906603b6565ee138656b6d59df3494c03c5e8099aede400d50b13af912b')
+
+    depends_on('py-setuptools', type='build')
+    depends_on('py-cython@0.27:', type='build')
+    depends_on('py-numpy@1.16.0:', type=('build', 'run'))
+    depends_on('py-scipy@0.9:', type=('build', 'run'))
+    depends_on('py-scikit-learn@0.17:', type=('build', 'run'))
+    depends_on('py-joblib', type=('build', 'run'))
+    depends_on('py-six', type=('build', 'run'))