|author||Bjoern Rabenstein <email@example.com>||Fri Jun 13 10:53:35 2014|
|committer||Bjoern Rabenstein <firstname.lastname@example.org>||Fri Jun 13 11:03:37 2014|
Fix error calculation for tests. Change sample generation to rand.NormFloat64 to expose previous problem.
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:
Q: Why not move the quantile package into the project root? A: I want to add more packages to perks later.
Copyright (C) 2013 Blake Mizerany
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