Uses of Interface
org.apache.datasketches.quantilescommon.QuantilesAPI

Packages that use QuantilesAPI

Package	Description
org.apache.datasketches.kll	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.
org.apache.datasketches.quantiles	The quantiles package contains stochastic streaming algorithms that enable single-pass analysis of the distribution of a stream of quantiles.
org.apache.datasketches.quantilescommon	This package contains common tools and methods for the quantiles, kll and req packages.
org.apache.datasketches.req	This package is for the implementation of the Relative Error Quantiles sketch algorithm.

Uses of QuantilesAPI in org.apache.datasketches.kll

Classes in org.apache.datasketches.kll that implement QuantilesAPI

Modifier and Type	Class	Description
class	KllDoublesSketch	This variation of the KllSketch implements primitive doubles.
class	KllFloatsSketch	This variation of the KllSketch implements primitive floats.
class	KllItemsSketch<T>	This variation of the KllSketch implements generic data types.
class	KllLongsSketch	This variation of the KllSketch implements primitive longs.
class	KllSketch	This class is the root of the KLL sketch class hierarchy.

Uses of QuantilesAPI in org.apache.datasketches.quantiles

Classes in org.apache.datasketches.quantiles that implement QuantilesAPI

Modifier and Type	Class	Description
class	CompactQuantilesDoublesSketch	Compact sketches are inherently read only.
class	QuantilesDoublesSketch	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	QuantilesItemsSketch<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	UpdatableQuantilesDoublesSketch	Extends QuantilesDoubleSketch

Uses of QuantilesAPI in org.apache.datasketches.quantilescommon

Subinterfaces of QuantilesAPI in org.apache.datasketches.quantilescommon

Modifier and Type	Interface	Description
interface	QuantilesDoublesAPI	The Quantiles API for item type double.
interface	QuantilesFloatsAPI	The Quantiles API for item type float.
interface	QuantilesGenericAPI<T>	The Quantiles API for item type generic.
interface	QuantilesLongsAPI	The Quantiles API for item type long.

Methods in org.apache.datasketches.quantilescommon with parameters of type QuantilesAPI

Modifier and Type	Method	Description
static 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

Classes in org.apache.datasketches.req that implement QuantilesAPI

Modifier and Type	Class	Description
final class	ReqSketch	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 Veselý, and loosely derived from a Python prototype written by Pavel Veselý.