python-hdmedians 0.13~git20171027.8e0e9e3-1build2 source package in Ubuntu
Changelog
python-hdmedians (0.13~git20171027.8e0e9e3-1build2) focal; urgency=medium * No-change rebuild to build with python3.8. -- Matthias Klose <email address hidden> Fri, 18 Oct 2019 18:43:05 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-hdmedians_0.13~git20171027.8e0e9e3.orig.tar.xz | 53.5 KiB | bb1d5adf7fb6018b6b09d9986d32cb4b7b9242f180d027b7f4ab0dabbd7fc8d8 |
python-hdmedians_0.13~git20171027.8e0e9e3-1build2.debian.tar.xz | 1.7 KiB | b939b10c9d3b31c9bc8fd61aba334daf0ee075bc504716b5ea437b962bb7b8bf |
python-hdmedians_0.13~git20171027.8e0e9e3-1build2.dsc | 2.2 KiB | 2818c5792ed198e38625a32b2aef79ba4fc4180b4167a0d40058b0c0d3edfc6c |
Available diffs
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