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python-hdmedians package

python-hdmedians 0.13~git20171027.8e0e9e3-1build2 source package in Ubuntu

Changelog

python-hdmedians (0.13~git20171027.8e0e9e3-1build2) focal; urgency=medium

  * No-change rebuild to build with python3.8.

 -- Matthias Klose <email address hidden>  Fri, 18 Oct 2019 18:43:05 +0000

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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

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File Size SHA-256 Checksum
python-hdmedians_0.13~git20171027.8e0e9e3.orig.tar.xz 53.5 KiB bb1d5adf7fb6018b6b09d9986d32cb4b7b9242f180d027b7f4ab0dabbd7fc8d8
python-hdmedians_0.13~git20171027.8e0e9e3-1build2.debian.tar.xz 1.7 KiB b939b10c9d3b31c9bc8fd61aba334daf0ee075bc504716b5ea437b962bb7b8bf
python-hdmedians_0.13~git20171027.8e0e9e3-1build2.dsc 2.2 KiB 2818c5792ed198e38625a32b2aef79ba4fc4180b4167a0d40058b0c0d3edfc6c

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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: debug symbols for python3-hdmedians