commit | c83a37fe8155e26aad5eb495fbcdb694a3f33885 | [log] [tgz] |
---|---|---|
author | Blake Mizerany <blake.mizerany@gmail.com> | Mon Apr 15 22:35:07 2013 |
committer | Blake Mizerany <blake.mizerany@gmail.com> | Mon Apr 15 22:35:07 2013 |
tree | 37a2f0ea9a202ef5553b20c5c1572fd7f1911838 | |
parent | 80589e92468e056d5093c2d5ab751c8890c16850 [diff] |
make defaultEpsilon a const in newStream
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.