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Source: python-hdmedians
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
cython3,
python3-all-dev,
python3-nose,
python3-numpy,
python3-setuptools
# cython,
# python-all-dev,
# python-nose,
# python-numpy,
# python-setuptools,
Standards-Version: 4.5.0
Vcs-Browser: https://salsa.debian.org/med-team/python-hdmedians
Vcs-Git: https://salsa.debian.org/med-team/python-hdmedians.git
Homepage: https://github.com/daleroberts/hdmedians
Rules-Requires-Root: no
Package: python3-hdmedians
Architecture: any
Depends: ${shlibs:Depends},
${misc:Depends},
${python3:Depends}
Description: high-dimensional medians in Python3
Various definitions for a high-dimensional median exist and this Python
package provides a number of fast implementations of these definitions.
Medians are extremely useful due to their high breakdown point (up to
50% contamination) and have a number of nice applications in machine
learning, computer vision, and high-dimensional statistics.
.
This package currently has implementations of medoid and geometric
median with support for missing data using NaN.
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