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Package: python3-hdmedians (0.14.2-6build3)

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 (>= 2.14) [amd64]
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    dep: libc6 (>= 2.17) [arm64]
    dep: libc6 (>= 2.27) [riscv64]
    dep: libc6 (>= 2.32) [ppc64el]
    dep: libc6 (>= 2.4) [armhf]
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.15)
    dep: python3 (>= 3.14~)
  • dep: python3-numpy
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  • dep: python3-numpy2-abi0
    virtual package provided by python3-numpy
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Download python3-hdmedians

Download for all available architectures
Architecture Package Size Installed Size Files
amd64 131.8 kB451 kB [list of files]
arm64 128.4 kB427 kB [list of files]
armhf 116.5 kB296 kB [list of files]
ppc64el 156.6 kB555 kB [list of files]
riscv64 136.2 kB351 kB [list of files]