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OnlineStats

Single-pass algorithms for statistics

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Online Algorithms for Statistics, Models, and Big Data Viz

Online algorithms are well suited for streaming data or when data is too large to hold in memory. OnlineStats processes observations one by one and all algorithms use O(1) memory.

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Quickstart

import Pkg

Pkg.add("OnlineStats")

using OnlineStats

o = Series(Mean(), Variance(), P2Quantile(), Extrema())

fit!(o, 1.0)

fit!(o, randn(10^6))

Documentation

Contributing

  • Trivial PRs such as fixing typos are very welcome!
  • For nontrivial changes, you'll probably want to first discuss the changes via issue/email/slack with @joshday.

Authors

See also the list of contributors to OnlineStats.

License

MIT

Packages Using OnlineStats/OnlineStatsBase

See JuliaHub:

deps

First Commit

02/04/2015

Last Touched

about 24 hours ago

Commits

2326 commits