commit | efd03329d629c7eef9625cd43801c56afbf53873 | [log] [tgz] |
---|---|---|
author | Blake Mizerany <blake.mizerany@gmail.com> | Tue Apr 16 21:36:44 2013 |
committer | Blake Mizerany <blake.mizerany@gmail.com> | Tue Apr 16 21:36:44 2013 |
tree | fb60b2166bca2ddc4020a3be2443b28236fcfed3 | |
parent | 6d5fa2ed589d6ba4ad7e65bfd807b70324936eb0 [diff] |
fix formatting
Perks contains the Go package quantile that computes approximate quantiles over an unbounded data stream within low memory and CPU bounds.
For more information and examples, see: http://godoc.org/github.com/bmizerany/perks
A very special thank you and shout out to Graham Cormode (Rutgers University), Flip Korn (AT&T Labs–Research), S. Muthukrishnan (Rutgers University), and Divesh Srivastava (AT&T Labs–Research) for their research and publication of Effective Computation of Biased Quantiles over Data Streams
Thank you, also:
FAQ:
Q: Why not move the quantile package into the project root? A: I want to add more packages to perks later.