Package: python3-hdmedians (0.13~git20171027.8e0e9e3-1build3)
Links for python3-hdmedians
Trisquel Resources:
Download Source Package python-hdmedians:
- [python-hdmedians_0.13~git20171027.8e0e9e3-1build3.dsc]
- [python-hdmedians_0.13~git20171027.8e0e9e3.orig.tar.xz]
- [python-hdmedians_0.13~git20171027.8e0e9e3-1build3.debian.tar.xz]
Maintainer:
Original Maintainers:
- Debian Med Packaging Team (Mail Archive)
- Andreas Tille
External Resources:
- Homepage [github.com]
Similar packages:
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.
Other Packages Related to python3-hdmedians
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- dep: cython3
- C-Extensions for Python 3
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- dep: libc6 (>= 2.14) [amd64]
- GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
- dep: libc6 (>= 2.4) [armhf]
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.9)
- dep: python3 (>= 3.8~)
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- dep: python3-numpy
- Fast array facility to the Python 3 language
Download python3-hdmedians
Architecture | Package Size | Installed Size | Files |
---|---|---|---|
amd64 | 122.4 kB | 413 kB | [list of files] |
armhf | 108.5 kB | 254 kB | [list of files] |