Binary package “python3-hdmedians” in ubuntu lunar
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.
Source package
Published versions
- python3-hdmedians 0.14.2-4build1 in amd64 (Release)
- python3-hdmedians 0.14.2-5build1 in amd64 (Proposed)
- python3-hdmedians 0.14.2-5build1 in amd64 (Release)
- python3-hdmedians 0.14.2-4build1 in arm64 (Release)
- python3-hdmedians 0.14.2-5build1 in arm64 (Proposed)
- python3-hdmedians 0.14.2-5build1 in arm64 (Release)
- python3-hdmedians 0.14.2-4build1 in armhf (Release)
- python3-hdmedians 0.14.2-5build1 in armhf (Proposed)
- python3-hdmedians 0.14.2-5build1 in armhf (Release)
- python3-hdmedians 0.14.2-4build1 in ppc64el (Release)
- python3-hdmedians 0.14.2-5build1 in ppc64el (Proposed)
- python3-hdmedians 0.14.2-5build1 in ppc64el (Release)
- python3-hdmedians 0.14.2-4build1 in riscv64 (Release)
- python3-hdmedians 0.14.2-5build1 in riscv64 (Proposed)
- python3-hdmedians 0.14.2-5build1 in riscv64 (Release)
- python3-hdmedians 0.14.2-4build1 in s390x (Release)
- python3-hdmedians 0.14.2-5build1 in s390x (Proposed)
- python3-hdmedians 0.14.2-5build1 in s390x (Release)