reservoir: Unweighted reservoir sampling

[ bsd3, library, math ] [ Propose Tags ] [ Report a vulnerability ]

From https://en.wikipedia.org/wiki/Reservoir_sampling: "Reservoir sampling is a family of randomized algorithms for randomly choosing a sample of k items from a list S containing n items, where n is either a very large or unknown number. Typically n is large enough that the list doesn't fit into main memory." This package implements Jeffrey Vitter's Algorithm R http://www.cs.umd.edu/~samir/498/vitter.pdf, suitable for unweighted sampling from a collection of unknown size.

Modules

[Index]

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

Versions [RSS] 0.2.0.0
Change log ChangeLog.md
Dependencies base (>=4.10 && <4.11), containers (>=0.5 && <0.6), random (>=1.1 && <1.2) [details]
License BSD-3-Clause
Author Mark Hay
Maintainer mah6@williams.edu
Category Math
Home page https://github.com/ahaym/reservoir
Source repo head: git clone https://github.com/ahaym/reservoir
Uploaded by haym at 2018-07-29T08:51:12Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 665 total (2 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs uploaded by user
Build status unknown [no reports yet]