一种新的数据结构,用于准确在线累积基于排名的统计数据,例如分位数和修剪平均值

t-digest 开源项目推荐(19 个)
t-digest 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 19
GitHub 共 19 个仓库,已全部展示Wicked Fast, Accurate Quantiles Using 't-Digests'
Routines and data structures for using isarn-sketches idiomatically in Apache Spark
redis module for percentile estimation
Sketching data structures for scala, including t-digest
A modern C++ implementation of a merging t-digest data structure.
Notebook image and notebook for feature reduction talk
Set of algorithms, used for estimation statistic characteristics on streaming data.
A Prototype For Fitting Monotonic Cubic Splines to a Tdigest Sketch
Demo of 1-pass variable importance using t-digests
Demo notebook and data for Spark Summit Dublin 2017: One-Pass Data Science with Generative T-Digests
A T-Digest is a Probabilistic Data structure (a "sketch") used to Estimate Quantiles and Percentiles from a Large Stream of Data or a Massive Dataset
Distinct counts, quantiles and frequencies in bounded memory. AMS Flajolet, NCC-0185.
Benchmarking five approaches to quantiles over large datasets — DDSketch, t-digest, KLL, a fixed-width histogram sketch and an exact parallel-sort baseline. C++17 with CI on Linux and macOS, Python plotting.
Type-classes to interface isarn-sketches with Algebird
T-digest streaming quantile estimation in pure Standard ML
Fixed-budget data-stream sketching with data-driven budget allocation
Probabilistic data structures implemented in Go.
该项目在 GitHub 上没有填写描述
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