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datalib-sketch

v1.0.2

Published

2 years ago

Probabilistic data structures for large or streaming data sets.

Downloads

58

0High
0Medium
0Low

data sketch approximate streaming bloom filter count min count mean min ngram stream summary t-digest

datalib-sketch

Probabilistic data structures for large or streaming data sets.

This module exports the following sketches:

Bloom - Bloom filters test for (approximate) set membership.
CountMin - Count-min sketches estimate frequency counts for streaming values.
CountMinMean - Count-min-mean sketches modify the estimates of count-min sketches to account for bias.
NGram - The N-Gram sketch simply counts all n-character strings (default 2) in text data.
StreamSummary - The StreamSummary sketch tracks top-k frequent values.
TDigest - The T-digest estimates a variable-width histogram for quantile and cdf estimation.

Build Process

To use datalib-sketch in the browser, you need to build the datalib-sketch.js and datalib-sketch.min.js files. We assume that you have npm installed.

Run npm install in the datalib-sketch folder to install dependencies.
Run npm run build. This will invoke browserify to bundle the source files into datalib-sketch.js, and then uglify-js to create the minified datalib-sketch.min.js.