commit: 207a85724b6526e0f3be017a8a953412fcdcf597
Author: Horea Christian <chr <AT> chymera <DOT> eu>
AuthorDate: Tue Jan 31 03:23:22 2023 +0000
Commit: Horea Christian <horea.christ <AT> gmail <DOT> com>
CommitDate: Tue Jan 31 03:23:22 2023 +0000
URL: https://gitweb.gentoo.org/proj/sci.git/commit/?id=207a8572
dev-python/hdbscan: new package, add 0.8.26, 0.8.29
Signed-off-by: Horea Christian <chr <AT> chymera.eu>
dev-python/hdbscan/hdbscan-0.8.26.ebuild | 33 ++++++++++++++++++++++++++++++++
dev-python/hdbscan/hdbscan-0.8.29.ebuild | 33 ++++++++++++++++++++++++++++++++
dev-python/hdbscan/metadata.xml | 28 +++++++++++++++++++++++++++
3 files changed, 94 insertions(+)
diff --git a/dev-python/hdbscan/hdbscan-0.8.26.ebuild
b/dev-python/hdbscan/hdbscan-0.8.26.ebuild
new file mode 100644
index 000000000..91e83eb87
--- /dev/null
+++ b/dev-python/hdbscan/hdbscan-0.8.26.ebuild
@@ -0,0 +1,33 @@
+# Copyright 2021-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+PYTHON_COMPAT=( python3_{10..11} )
+DISTUTILS_USE_PEP517=setuptools
+inherit distutils-r1
+
+DESCRIPTION="A high performance implementation of HDBSCAN clustering."
+HOMEPAGE="https://github.com/scikit-learn-contrib/hdbscan";
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86"
+IUSE="test"
+RESTRICT="test"
+# Tests fail, reported to upstream
+# https://github.com/scikit-learn-contrib/hdbscan/issues/501
+
+DEPEND=""
+RDEPEND="
+ dev-python/cython[${PYTHON_USEDEP}]
+ dev-python/joblib[${PYTHON_USEDEP}]
+ dev-python/numpy[${PYTHON_USEDEP}]
+ dev-python/scipy[${PYTHON_USEDEP}]
+ dev-python/six[${PYTHON_USEDEP}]
+ sci-libs/scikit-learn[${PYTHON_USEDEP}]
+"
+BDEPEND=""
+
+distutils_enable_tests pytest
diff --git a/dev-python/hdbscan/hdbscan-0.8.29.ebuild
b/dev-python/hdbscan/hdbscan-0.8.29.ebuild
new file mode 100644
index 000000000..85d049d4c
--- /dev/null
+++ b/dev-python/hdbscan/hdbscan-0.8.29.ebuild
@@ -0,0 +1,33 @@
+# Copyright 2021-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+PYTHON_COMPAT=( python3_{8..10} )
+DISTUTILS_USE_PEP517=setuptools
+inherit distutils-r1
+
+DESCRIPTION="A high performance implementation of HDBSCAN clustering."
+HOMEPAGE="https://github.com/scikit-learn-contrib/hdbscan";
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86"
+IUSE="test"
+# Reported upstream:
+# https://github.com/scikit-learn-contrib/hdbscan/issues/501
+RESTRICT="test"
+
+DEPEND=""
+RDEPEND="
+ dev-python/cython[${PYTHON_USEDEP}]
+ dev-python/joblib[${PYTHON_USEDEP}]
+ dev-python/numpy[${PYTHON_USEDEP}]
+ dev-python/scipy[${PYTHON_USEDEP}]
+ dev-python/six[${PYTHON_USEDEP}]
+ sci-libs/scikit-learn[${PYTHON_USEDEP}]
+"
+BDEPEND=""
+
+distutils_enable_tests pytest
diff --git a/dev-python/hdbscan/metadata.xml b/dev-python/hdbscan/metadata.xml
new file mode 100644
index 000000000..b43e627e0
--- /dev/null
+++ b/dev-python/hdbscan/metadata.xml
@@ -0,0 +1,28 @@
+<?xml version='1.0' encoding='UTF-8'?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd";>
+<pkgmetadata>
+ <maintainer type="person">
+ <email>[email protected]</email>
+ <name>Horea Christian</name>
+ </maintainer>
+ <maintainer type="project">
+ <email>[email protected]</email>
+ <name>Gentoo Science Project</name>
+ </maintainer>
+ <longdescription lang="en">
+ 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).
+ </longdescription>
+ <upstream>
+ <remote-id
type="github">scikit-learn-contrib/hdbscan</remote-id>
+ </upstream>
+</pkgmetadata>
