golang-github-vividcortex-ewma 0.0~git20160822.20.c595cd8-3 source package in Ubuntu
Changelog
golang-github-vividcortex-ewma (0.0~git20160822.20.c595cd8-3) unstable; urgency=medium * Switch Build-Depends to golang-any -- Dr. Tobias Quathamer <email address hidden> Tue, 29 Nov 2016 17:55:34 +0100
Upload details
- Uploaded by:
- Debian Go Packaging Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Go Packaging Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Bionic | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
golang-github-vividcortex-ewma_0.0~git20160822.20.c595cd8-3.dsc | 2.3 KiB | 59357e914fe129bdbddd4bf9b276a632c7aa50357150c986848bf5a6efa10776 |
golang-github-vividcortex-ewma_0.0~git20160822.20.c595cd8.orig.tar.xz | 5.4 KiB | c19b56dbdc43711fd16d346134405fadfc169c30254167ec197a75c8fa3b6e67 |
golang-github-vividcortex-ewma_0.0~git20160822.20.c595cd8-3.debian.tar.xz | 1.9 KiB | 4cedf22210dfa421f4e551e2aa4a5d3645574a0bf7f7711daedebced00ee2dc5 |
Available diffs
No changes file available.
Binary packages built by this source
- golang-github-vividcortex-ewma-dev: Exponentially Weighted Moving Average algorithms for Go
An exponentially weighted moving average is a way to continuously
compute a type of average for a series of numbers, as the numbers
arrive. After a value in the series is added to the average, its
weight in the average decreases exponentially over time. This biases
the average towards more recent data. EWMAs are useful for several
reasons, chiefly their inexpensive computational and memory cost, as
well as the fact that they represent the recent central tendency of
the series of values.