Uses of Interface
org.apache.datasketches.quantilescommon.QuantilesAPI
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.
The quantiles package contains stochastic streaming algorithms that enable single-pass
analysis of the distribution of a stream of quantiles.
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 QuantilesAPI in org.apache.datasketches.kll
Modifier and TypeClassDescriptionclass
This variation of the KllSketch implements primitive doubles.class
This variation of the KllSketch implements primitive floats.class
This variation of the KllSketch implements generic data types.class
This variation of the KllSketch implements primitive longs.class
This class is the root of the KLL sketch class hierarchy. -
Uses of QuantilesAPI in org.apache.datasketches.quantiles
Modifier and TypeClassDescriptionclass
Compact sketches are inherently read only.class
This is an implementation of the Low Discrepancy Mergeable Quantiles Sketch, using doubles, described in section 3.2 of the journal version of the paper "Mergeable Summaries" by Agarwal, Cormode, Huang, Phillips, Wei, and Yi:final class
ItemsSketch<T>
This is an implementation of the Low Discrepancy Mergeable Quantiles Sketch, using generic items, described in section 3.2 of the journal version of the paper "Mergeable Summaries" by Agarwal, Cormode, Huang, Phillips, Wei, and Yi:class
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Uses of QuantilesAPI in org.apache.datasketches.quantilescommon
Modifier and TypeInterfaceDescriptioninterface
The Quantiles API for item type double.interface
The Quantiles API for item type float.interface
The Quantiles API for item type generic.interface
The Quantiles API for item type long.Modifier and TypeMethodDescriptionstatic double
KolmogorovSmirnov.computeKSThreshold
(QuantilesAPI sketch1, QuantilesAPI sketch2, double tgtPvalue) Computes the adjusted delta height threshold for the kolmogorovSmirnovTest(...) method.static boolean
KolmogorovSmirnov.kolmogorovSmirnovTest
(QuantilesAPI sketch1, QuantilesAPI sketch2, double tgtPvalue) Performs the Kolmogorov-Smirnov Test between two QuantilesAPI sketches. -
Uses of QuantilesAPI in org.apache.datasketches.req
Modifier 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˝.