python-hdmedians 0.14.2-3 source package in Ubuntu

Changelog

python-hdmedians (0.14.2-3) unstable; urgency=medium

  * Team Upload.
  * Switch from nosetest -> pytest
  * d/control: B-D on python3-pytest
  * Add autopkgtests
  * d/rules: Remove .coverage files

 -- Nilesh Patra <email address hidden>  Sat, 18 Dec 2021 16:12:57 +0530

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
python-hdmedians_0.14.2-3.dsc 2.2 KiB 8f1683576dd53565b4a632822b388edcb2d1805abf016913700fb88dc8ad4767
python-hdmedians_0.14.2.orig.tar.gz 106.5 KiB ad68262553b2f9d3d189ee83f881acdc0d82327aad4f8aa087ee712aacaa1fbb
python-hdmedians_0.14.2-3.debian.tar.xz 3.3 KiB aace37cb18facf5bcbda1cc49fd1114e4de2c1d553801f6578f4ddcbd88fd022

Available diffs

No changes file available.

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