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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import Pkg
Pkg.add("OnlineStats")
using OnlineStats
o = Series(Mean(), Variance(), P2Quantile(), Extrema())
fit!(o, 1.0)
fit!(o, randn(10^6))
@joshday
.See also the list of contributors to OnlineStats.
See JuliaHub:
02/04/2015
1 day ago
2332 commits