Package: python3-hdmedians (0.14.1-1 and others)

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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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Download python3-hdmedians

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Architecture	Version	Package Size	Installed Size	Files
amd64	0.14.1-1+b2	100.6 kB	365.0 kB	[list of files]
arm64	0.14.1-1+b2	84.1 kB	293.0 kB	[list of files]
armel	0.14.1-1+b2	88.4 kB	295.0 kB	[list of files]
armhf	0.14.1-1+b2	85.4 kB	219.0 kB	[list of files]
i386	0.14.1-1+b2	97.1 kB	347.0 kB	[list of files]
mips64el	0.14.1-1+b2	79.3 kB	345.0 kB	[list of files]
mipsel	0.14.1-1+b2	81.3 kB	326.0 kB	[list of files]
ppc64el	0.14.1-1+b2	96.5 kB	433.0 kB	[list of files]
s390x	0.14.1-1+b2	80.0 kB	317.0 kB	[list of files]