commit | fd7701c5ca7e2b07a2b9ba800abad83e86d706f9 | [log] [tgz] |
---|---|---|
author | Blake Mizerany <blake.mizerany@gmail.com> | Tue Apr 16 21:52:03 2013 |
committer | Blake Mizerany <blake.mizerany@gmail.com> | Tue Apr 16 21:52:03 2013 |
tree | 996c321095ca16be5f4c44a6412806af83c76f01 | |
parent | 20433c1cb827820a6f736c8def508e067ca2c609 [diff] |
readFloats -> sendFloats
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.