Package: python3-hdmedians (0.14.2-5.1 and others)

[ Source: python-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.

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  dep: libc6 (>= 2.16) [x32]

  dep: libc6 (>= 2.17) [arm64, ppc64el]

  dep: libc6 (>= 2.27) [riscv64]

  dep: libc6 (>= 2.3.4) [hppa]

  dep: libc6 (>= 2.4) [armel, armhf, i386, m68k, mips64el, ppc64, s390x, sparc64]

  dep: libc6 (>= 2.40) [sh4]

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Download python3-hdmedians

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Architecture	Version	Package Size	Installed Size	Files
alpha (unofficial port)	0.14.2-5.1+b2	145.6 kB	823.0 kB	[list of files]
amd64	0.14.2-5.1+b2	172.5 kB	839.0 kB	[list of files]
arm64	0.14.2-5.1+b3	143.5 kB	691.0 kB	[list of files]
armel	0.14.2-5.1+b2	149.2 kB	669.0 kB	[list of files]
armhf	0.14.2-5.1+b2	140.7 kB	485.0 kB	[list of files]
hppa (unofficial port)	0.14.2-5.1+b2	150.7 kB	859.0 kB	[list of files]
i386	0.14.2-5.1+b3	164.2 kB	801.0 kB	[list of files]
ia64 (unofficial port)	0.14.2-5.1	171.8 kB	1,133.0 kB	[list of files]
m68k (unofficial port)	0.14.2-5.1+b2	125.0 kB	605.0 kB	[list of files]
mips64el	0.14.2-5.1+b2	128.5 kB	837.0 kB	[list of files]
ppc64 (unofficial port)	0.14.2-5.1+b2	154.7 kB	947.0 kB	[list of files]
ppc64el	0.14.2-5.1+b2	156.1 kB	947.0 kB	[list of files]
riscv64	0.14.2-5.1+b3	162.7 kB	587.0 kB	[list of files]
s390x	0.14.2-5.1+b2	151.9 kB	739.0 kB	[list of files]
sh4 (unofficial port)	0.14.2-5.1+b2	218.6 kB	685.0 kB	[list of files]
sparc64 (unofficial port)	0.14.2-5.1+b2	129.0 kB	2,109.0 kB	[list of files]
x32 (unofficial port)	0.14.2-5.1	122.2 kB	395.0 kB	[list of files]