Uses of Class
org.apache.datasketches.quantilescommon.QuantileSearchCriteria

Packages that use QuantileSearchCriteria

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 QuantileSearchCriteria in org.apache.datasketches.kll

Methods in org.apache.datasketches.kll with parameters of type QuantileSearchCriteria

Modifier and Type	Method	Description
double[]	KllDoublesSketch.getCDF(double[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllFloatsSketch.getCDF(float[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketch.getCDF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketchSortedView.getCDF(T[] splitPoints, QuantileSearchCriteria searchCrit)
long	KllDoublesSketchSortedViewIterator.getCumulativeWeight(QuantileSearchCriteria searchCrit)
long	KllFloatsSketchSortedViewIterator.getCumulativeWeight(QuantileSearchCriteria searchCrit)
double	KllDoublesSketchSortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)
double	KllFloatsSketchSortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)
QuantilesDoublesAPI.DoublesPartitionBoundaries	KllDoublesSketch.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)
QuantilesFloatsAPI.FloatsPartitionBoundaries	KllFloatsSketch.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)
QuantilesGenericAPI.GenericPartitionBoundaries<T>	KllItemsSketch.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)
double[]	KllDoublesSketch.getPMF(double[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllFloatsSketch.getPMF(float[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketch.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketchSortedView.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double	KllDoublesSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
double	KllDoublesSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
float	KllFloatsSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
float	KllFloatsSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
T	KllItemsSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
T	KllItemsSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
double[]	KllDoublesSketch.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)
float[]	KllFloatsSketch.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)
T[]	KllItemsSketch.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)
double	KllDoublesSketch.getRank(double quantile, QuantileSearchCriteria searchCrit)
double	KllDoublesSketchSortedView.getRank(double quantile, QuantileSearchCriteria searchCrit)
double	KllFloatsSketch.getRank(float quantile, QuantileSearchCriteria searchCrit)
double	KllFloatsSketchSortedView.getRank(float quantile, QuantileSearchCriteria searchCrit)
double	KllItemsSketch.getRank(T quantile, QuantileSearchCriteria searchCrit)
double	KllItemsSketchSortedView.getRank(T quantile, QuantileSearchCriteria searchCrit)
double[]	KllDoublesSketch.getRanks(double[] quantiles, QuantileSearchCriteria searchCrit)
double[]	KllFloatsSketch.getRanks(float[] quantiles, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketch.getRanks(T[] quantiles, QuantileSearchCriteria searchCrit)

Uses of QuantileSearchCriteria in org.apache.datasketches.quantiles

Methods in org.apache.datasketches.quantiles with parameters of type QuantileSearchCriteria

Modifier and Type	Method	Description
double[]	DoublesSketch.getCDF(double[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	ItemsSketch.getCDF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	ItemsSketchSortedView.getCDF(T[] splitPoints, QuantileSearchCriteria searchCrit)
long	DoublesSketchSortedViewIterator.getCumulativeWeight(QuantileSearchCriteria searchCrit)
double	DoublesSketchSortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)
QuantilesDoublesAPI.DoublesPartitionBoundaries	DoublesSketch.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)
QuantilesGenericAPI.GenericPartitionBoundaries<T>	ItemsSketch.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)
double[]	DoublesSketch.getPMF(double[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	ItemsSketch.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	ItemsSketchSortedView.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double	DoublesSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
double	DoublesSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
T	ItemsSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
T	ItemsSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
double[]	DoublesSketch.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)
T[]	ItemsSketch.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)
double	DoublesSketch.getRank(double quantile, QuantileSearchCriteria searchCrit)
double	DoublesSketchSortedView.getRank(double quantile, QuantileSearchCriteria searchCrit)
double	ItemsSketch.getRank(T quantile, QuantileSearchCriteria searchCrit)
double	ItemsSketchSortedView.getRank(T quantile, QuantileSearchCriteria searchCrit)
double[]	DoublesSketch.getRanks(double[] quantiles, QuantileSearchCriteria searchCrit)
double[]	ItemsSketch.getRanks(T[] quantiles, QuantileSearchCriteria searchCrit)

Uses of QuantileSearchCriteria in org.apache.datasketches.quantilescommon

Methods in org.apache.datasketches.quantilescommon that return QuantileSearchCriteria

Modifier and Type	Method	Description
static QuantileSearchCriteria	QuantileSearchCriteria.valueOf(String name)	Returns the enum constant of this type with the specified name.
static QuantileSearchCriteria[]	QuantileSearchCriteria.values()	Returns an array containing the constants of this enum type, in the order they are declared.

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

Modifier and Type	Method	Description
default double[]	DoublesSortedView.getCDF(double[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Cumulative Distribution Function (CDF) of the input stream as a monotonically increasing array of double ranks (or cumulative probabilities) on the interval [0.0, 1.0], given a set of splitPoints.
default double[]	FloatsSortedView.getCDF(float[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Cumulative Distribution Function (CDF) of the input stream as a monotonically increasing array of double ranks (or cumulative probabilities) on the interval [0.0, 1.0], given a set of splitPoints.
double[]	GenericSortedView.getCDF(T[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Cumulative Distribution Function (CDF) of the input stream as a monotonically increasing array of double ranks (or cumulative probabilities) on the interval [0.0, 1.0], given a set of splitPoints.
double[]	QuantilesDoublesAPI.getCDF(double[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Cumulative Distribution Function (CDF) of the input stream as a monotonically increasing array of double ranks (or cumulative probabilities) on the interval [0.0, 1.0], given a set of splitPoints.
double[]	QuantilesFloatsAPI.getCDF(float[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Cumulative Distribution Function (CDF) of the input stream as a monotonically increasing array of double ranks (or cumulative probabilities) on the interval [0.0, 1.0], given a set of splitPoints.
double[]	QuantilesGenericAPI.getCDF(T[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Cumulative Distribution Function (CDF) of the input stream as a monotonically increasing array of double ranks (or cumulative probabilities) on the interval [0.0, 1.0], given a set of splitPoints.
long	GenericSortedViewIterator.getCumulativeWeight(QuantileSearchCriteria searchCrit)
long	SortedViewIterator.getCumulativeWeight(QuantileSearchCriteria searchCrit)	Gets the cumulative weight at the current index (or previous index) based on the chosen search criterion.
double	GenericSortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)
double	SortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)	Gets the normalized rank at the current index (or previous index) based on the chosen search criterion.
QuantilesDoublesAPI.DoublesPartitionBoundaries	QuantilesDoublesAPI.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)	This method returns an instance of DoublesPartitionBoundaries which provides sufficient information for the user to create the given number of equally weighted partitions.
QuantilesFloatsAPI.FloatsPartitionBoundaries	QuantilesFloatsAPI.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)	This method returns an instance of FloatsPartitionBoundaries which provides sufficient information for the user to create the given number of equally weighted partitions.
QuantilesGenericAPI.GenericPartitionBoundaries<T>	QuantilesGenericAPI.getPartitionBoundaries(int numEquallyWeighted, QuantileSearchCriteria searchCrit)	This method returns an instance of GenericPartitionBoundaries which provides sufficient information for the user to create the given number of equally weighted partitions.
default double[]	DoublesSortedView.getPMF(double[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Probability Mass Function (PMF) of the input stream as an array of probability masses as doubles on the interval [0.0, 1.0], given a set of splitPoints.
default double[]	FloatsSortedView.getPMF(float[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Probability Mass Function (PMF) of the input stream as an array of probability masses as doubles on the interval [0.0, 1.0], given a set of splitPoints.
double[]	GenericSortedView.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Probability Mass Function (PMF) of the input stream as an array of probability masses as doubles on the interval [0.0, 1.0], given a set of splitPoints.
double[]	QuantilesDoublesAPI.getPMF(double[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Probability Mass Function (PMF) of the input stream as an array of probability masses as doubles on the interval [0.0, 1.0], given a set of splitPoints.
double[]	QuantilesFloatsAPI.getPMF(float[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Probability Mass Function (PMF) of the input stream as an array of probability masses as doubles on the interval [0.0, 1.0], given a set of splitPoints.
double[]	QuantilesGenericAPI.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)	Returns an approximation to the Probability Mass Function (PMF) of the input stream as an array of probability masses as doubles on the interval [0.0, 1.0], given a set of splitPoints.
double	DoublesSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
float	FloatsSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
T	GenericSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
double	QuantilesDoublesAPI.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
float	QuantilesFloatsAPI.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
T	QuantilesGenericAPI.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
double[]	QuantilesDoublesAPI.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)	Gets an array of quantiles from the given array of normalized ranks.
float[]	QuantilesFloatsAPI.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)	Gets an array of quantiles from the given array of normalized ranks.
T[]	QuantilesGenericAPI.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)	Gets an array of quantiles from the given array of normalized ranks.
double	DoublesSortedView.getRank(double quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double	FloatsSortedView.getRank(float quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double	GenericSortedView.getRank(T quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double	QuantilesDoublesAPI.getRank(double quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double	QuantilesFloatsAPI.getRank(float quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double	QuantilesGenericAPI.getRank(T quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double[]	QuantilesDoublesAPI.getRanks(double[] quantiles, QuantileSearchCriteria searchCrit)	Gets an array of normalized ranks corresponding to the given array of quantiles and the given search criterion.
double[]	QuantilesFloatsAPI.getRanks(float[] quantiles, QuantileSearchCriteria searchCrit)	Gets an array of normalized ranks corresponding to the given array of quantiles and the given search criterion.
double[]	QuantilesGenericAPI.getRanks(T[] quantiles, QuantileSearchCriteria searchCrit)	Gets an array of normalized ranks corresponding to the given array of quantiles and the given search criterion.

Uses of QuantileSearchCriteria in org.apache.datasketches.req

Methods in org.apache.datasketches.req with parameters of type QuantileSearchCriteria

Modifier and Type	Method	Description
double[]	ReqSketch.getCDF(float[] splitPoints, QuantileSearchCriteria searchCrit)
long	ReqSketchSortedViewIterator.getCumulativeWeight(QuantileSearchCriteria searchCrit)
double	ReqSketchSortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)
double[]	ReqSketch.getPMF(float[] splitPoints, QuantileSearchCriteria searchCrit)
float	ReqSketch.getQuantile(double normRank, QuantileSearchCriteria searchCrit)
float	ReqSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
float[]	ReqSketch.getQuantiles(double[] normRanks, QuantileSearchCriteria searchCrit)
double	ReqSketch.getRank(float quantile, QuantileSearchCriteria searchCrit)
double	ReqSketchSortedView.getRank(float quantile, QuantileSearchCriteria searchCrit)
double[]	ReqSketch.getRanks(float[] quantiles, QuantileSearchCriteria searchCrit)