Uses of Interface
org.apache.datasketches.quantilescommon.QuantilesFloatsAPI
Packages that use QuantilesFloatsAPI
Package
Description
This package is for the implementations of the sketch algorithm developed by Zohar Karnin, Kevin Lang,
and Edo Liberty that is commonly referred to as the "KLL" sketch after the authors' last names.
This package contains common tools and methods for the quantiles, kll and
req packages.
This package is for the implementation of the Relative Error Quantiles sketch algorithm.
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Uses of QuantilesFloatsAPI in org.apache.datasketches.kll
Classes in org.apache.datasketches.kll that implement QuantilesFloatsAPIModifier and TypeClassDescriptionclass
This variation of the KllSketch implements primitive floats. -
Uses of QuantilesFloatsAPI in org.apache.datasketches.quantilescommon
Methods in org.apache.datasketches.quantilescommon with parameters of type QuantilesFloatsAPIModifier and TypeMethodDescriptionstatic double
KolmogorovSmirnov.computeKSDelta
(QuantilesFloatsAPI sketch1, QuantilesFloatsAPI sketch2) Computes the raw delta between two QuantilesFloatsAPI sketches for the kolmogorovSmirnovTest(...) method.Constructors in org.apache.datasketches.quantilescommon with parameters of type QuantilesFloatsAPIModifierConstructorDescriptionFloatsSketchSortedView
(float[] quantiles, long[] cumWeights, QuantilesFloatsAPI sk) Construct Sorted View. -
Uses of QuantilesFloatsAPI in org.apache.datasketches.req
Classes in org.apache.datasketches.req that implement QuantilesFloatsAPIModifier and TypeClassDescriptionfinal class
This Relative Error Quantiles Sketch is the Java implementation based on the paper "Relative Error Streaming Quantiles" by Graham Cormode, Zohar Karnin, Edo Liberty, Justin Thaler, Pavel VeselĂ˝, and loosely derived from a Python prototype written by Pavel VeselĂ˝.