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 Pocket Published Component Section
Bionic release universe misc

Builds

Zesty: [FULLYBUILT] amd64

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

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.