python-hdmedians 0.13~git20171027.8e0e9e3-1build3 source package in Ubuntu

Changelog

python-hdmedians (0.13~git20171027.8e0e9e3-1build3) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 10:23:05 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

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python-hdmedians_0.13~git20171027.8e0e9e3.orig.tar.xz 53.5 KiB bb1d5adf7fb6018b6b09d9986d32cb4b7b9242f180d027b7f4ab0dabbd7fc8d8
python-hdmedians_0.13~git20171027.8e0e9e3-1build3.debian.tar.xz 1.7 KiB 653de750dba14c0bfb7f33abd4c7984feff1a4dfa7c9c8471d420a2f1c9caf37
python-hdmedians_0.13~git20171027.8e0e9e3-1build3.dsc 2.2 KiB d8c0e10717fb7bed4b8a11ca725e8fccbb2773793d1774fda8641c3dd4522de4

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Binary packages built by this source

python3-hdmedians: 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.

python3-hdmedians-dbgsym: No summary available for python3-hdmedians-dbgsym in ubuntu hirsute.

No description available for python3-hdmedians-dbgsym in ubuntu hirsute.