## Uses of Interface
org.apache.datasketches.quantilescommon.QuantilesDoublesAPI

Packages that use QuantilesDoublesAPI
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.

### Uses of QuantilesDoublesAPI in org.apache.datasketches.kll

Classes in org.apache.datasketches.kll that implement QuantilesDoublesAPI
`class` `KllDoublesSketch` This variation of the KllSketch implements primitive doubles.

### Uses of QuantilesDoublesAPI in org.apache.datasketches.quantiles

Classes in org.apache.datasketches.quantiles that implement QuantilesDoublesAPI
`class` `CompactDoublesSketch` Compact sketches are inherently read only.
`class` `DoublesSketch` 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: Reference: A k of 128 produces a normalized, rank error of about 1.7%.
`class` `UpdateDoublesSketch`

### Uses of QuantilesDoublesAPI in org.apache.datasketches.quantilescommon

Methods in org.apache.datasketches.quantilescommon with parameters of type QuantilesDoublesAPI
`static double` KolmogorovSmirnov.`computeKSDelta(QuantilesDoublesAPI sketch1, QuantilesDoublesAPI sketch2)` Computes the raw delta between two QuantilesDoublesAPI sketches for the kolmogorovSmirnovTest(...)

Constructors in org.apache.datasketches.quantilescommon with parameters of type QuantilesDoublesAPI
Constructor and Description
`DoublesSketchSortedView(double[] quantiles, long[] cumWeights, QuantilesDoublesAPI sk)` Construct from elements, also used in testing.