Streaming approximate histograms in Go
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
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 1.0.0-6.fc35 | - |
Fedora 35 | 1.0.0-6.fc35 | - |
Fedora 34 | 1.0.0-5.fc34 | - |
You can contact the maintainers of this package via email at
golang-github-vividcortex-gohistogram dash maintainers at fedoraproject dot org
.