Package : golang-github-vividcortex-gohistogram-devel
Package details
Summary: Streaming approximate histograms in Go
Description:
This package provides Streaming Approximate Histograms for efficient quantile
approximations.
The histograms in this package are based on the algorithms found in Ben-Haim &
Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not
have a preset size. As values stream into the histogram, bins are dynamically
added and merged.
This package contains the source code needed for building packages that
reference the following Go import paths:
– github.com/VividCortex/gohistogram
URL: https://github.com/VividCortex/gohistogram
License: MIT
Maintainer: pterjan
Description:
This package provides Streaming Approximate Histograms for efficient quantile
approximations.
The histograms in this package are based on the algorithms found in Ben-Haim &
Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not
have a preset size. As values stream into the histogram, bins are dynamically
added and merged.
This package contains the source code needed for building packages that
reference the following Go import paths:
– github.com/VividCortex/gohistogram
URL: https://github.com/VividCortex/gohistogram
License: MIT
Maintainer: pterjan
List of RPMs
- golang-github-vividcortex-gohistogram-devel-1.0.0-3.mga9.noarch.rpm (Mageia 9, i586 media, core-release) Install