Uses of Enum 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.partitions
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[]	KllLongsSketch.getCDF(long[] splitPoints, QuantileSearchCriteria searchCrit)
GenericPartitionBoundaries<T>	KllItemsSketch.getPartitionBoundariesFromNumParts(int numEquallySizedParts, QuantileSearchCriteria searchCrit)
GenericPartitionBoundaries<T>	KllItemsSketch.getPartitionBoundariesFromPartSize(long nominalPartSizeItems, QuantileSearchCriteria searchCrit)
double[]	KllDoublesSketch.getPMF(double[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllFloatsSketch.getPMF(float[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketch.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	KllLongsSketch.getPMF(long[] splitPoints, QuantileSearchCriteria searchCrit)
double	KllDoublesSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
float	KllFloatsSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
T	KllItemsSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
long	KllLongsSketch.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)
long[]	KllLongsSketch.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)
double	KllDoublesSketch.getRank(double quantile, QuantileSearchCriteria searchCrit)
double	KllFloatsSketch.getRank(float quantile, QuantileSearchCriteria searchCrit)
double	KllItemsSketch.getRank(T quantile, QuantileSearchCriteria searchCrit)
double	KllLongsSketch.getRank(long quantile, QuantileSearchCriteria searchCrit)
double[]	KllDoublesSketch.getRanks(double[] quantiles, QuantileSearchCriteria searchCrit)
double[]	KllFloatsSketch.getRanks(float[] quantiles, QuantileSearchCriteria searchCrit)
double[]	KllItemsSketch.getRanks(T[] quantiles, QuantileSearchCriteria searchCrit)
double[]	KllLongsSketch.getRanks(long[] quantiles, QuantileSearchCriteria searchCrit)

Uses of QuantileSearchCriteria in org.apache.datasketches.partitions

Constructors in org.apache.datasketches.partitions with parameters of type QuantileSearchCriteria

Modifier	Constructor	Description
	Partitioner(long tgtPartitionSize, int maxPartsPerSk, SketchFillRequest<T,S> fillReq, QuantileSearchCriteria criteria)	This constructor includes the QuantileSearchCriteria criteria as a parameter.

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)
GenericPartitionBoundaries<T>	ItemsSketch.getPartitionBoundariesFromNumParts(int numEquallySizedParts, QuantileSearchCriteria searchCrit)
GenericPartitionBoundaries<T>	ItemsSketch.getPartitionBoundariesFromPartSize(long nominalPartSizeItems, QuantileSearchCriteria searchCrit)
double[]	DoublesSketch.getPMF(double[] splitPoints, QuantileSearchCriteria searchCrit)
double[]	ItemsSketch.getPMF(T[] splitPoints, QuantileSearchCriteria searchCrit)
double	DoublesSketch.getQuantile(double rank, QuantileSearchCriteria searchCrit)
T	ItemsSketch.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	ItemsSketch.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
QuantileSearchCriteria	GenericPartitionBoundaries.getSearchCriteria()	Gets the search criteria specified for the source sketch
static QuantileSearchCriteria	QuantileSearchCriteria.valueOf(String name)	Returns the enum constant of this class with the specified name.
static QuantileSearchCriteria[]	QuantileSearchCriteria.values()	Returns an array containing the constants of this enum class, 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.
default 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.
default double[]	LongsSortedView.getCDF(long[] 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.
double[]	QuantilesLongsAPI.getCDF(long[] 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.
static double	QuantilesUtil.getNaturalRank(double normalizedRank, long totalN, QuantileSearchCriteria searchCrit)	Computes the closest Natural Rank from a given Normalized Rank
long	SortedViewIterator.getNaturalRank(QuantileSearchCriteria searchCrit)	Gets the natural rank at the current index (or previous index) based on the chosen search criterion.
double	SortedViewIterator.getNormalizedRank(QuantileSearchCriteria searchCrit)	Gets the normalized rank at the current index (or previous index) based on the chosen search criterion.
GenericPartitionBoundaries<T>	ItemsSketchSortedView.getPartitionBoundariesFromNumParts(int numEquallySizedParts, QuantileSearchCriteria searchCrit)
GenericPartitionBoundaries<T>	PartitioningFeature.getPartitionBoundariesFromNumParts(int numEquallySizedParts, QuantileSearchCriteria searchCrit)	This method returns an instance of GenericPartitionBoundaries which provides sufficient information for the user to create the given number of equally sized partitions, where "equally sized" refers to an approximately equal number of items per partition.
GenericPartitionBoundaries<T>	ItemsSketchSortedView.getPartitionBoundariesFromPartSize(long nominalPartitionSize, QuantileSearchCriteria searchCrit)
GenericPartitionBoundaries<T>	PartitioningFeature.getPartitionBoundariesFromPartSize(long nominalPartSizeItems, QuantileSearchCriteria searchCrit)	This method returns an instance of GenericPartitionBoundaries which provides sufficient information for the user to create the given number of equally sized partitions, where "equally sized" refers to an approximately equal number of items per partition.
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.
default 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.
default double[]	LongsSortedView.getPMF(long[] 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[]	QuantilesLongsAPI.getPMF(long[] 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	DoublesSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
double	DoublesSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
float	FloatsSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
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.
T	GenericSortedViewIterator.getQuantile(QuantileSearchCriteria searchCrit)	Gets the quantile at the current index (or previous index) based on the chosen search criterion.
T	ItemsSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
long	LongsSketchSortedView.getQuantile(double rank, QuantileSearchCriteria searchCrit)
long	LongsSortedView.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.
long	QuantilesLongsAPI.getQuantile(double rank, QuantileSearchCriteria searchCrit)	Gets the approximate quantile of the given normalized rank and the given search criterion.
T[]	ItemsSketchSortedView.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)	Gets an array of quantiles corresponding to the given array of ranks.
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.
long[]	QuantilesLongsAPI.getQuantiles(double[] ranks, QuantileSearchCriteria searchCrit)	Gets an array of quantiles from the given array of normalized ranks.
double	DoublesSketchSortedView.getRank(double quantile, QuantileSearchCriteria searchCrit)
double	DoublesSortedView.getRank(double quantile, QuantileSearchCriteria searchCrit)	Gets the normalized rank corresponding to the given a quantile.
double	FloatsSketchSortedView.getRank(float quantile, QuantileSearchCriteria searchCrit)
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	ItemsSketchSortedView.getRank(T quantile, QuantileSearchCriteria searchCrit)
double	LongsSketchSortedView.getRank(long quantile, QuantileSearchCriteria searchCrit)
double	LongsSortedView.getRank(long 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	QuantilesLongsAPI.getRank(long 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.
double[]	QuantilesLongsAPI.getRanks(long[] quantiles, QuantileSearchCriteria searchCrit)	Gets an array of normalized ranks corresponding to the given array of quantiles and the given search criterion.

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

Modifier	Constructor	Description
	GenericPartitionBoundaries(long totalN, T[] boundaries, long[] natRanks, double[] normRanks, T maxItem, T minItem, QuantileSearchCriteria searchCrit)	Constructor.

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)
double[]	ReqSketch.getPMF(float[] splitPoints, QuantileSearchCriteria searchCrit)
float	ReqSketch.getQuantile(double normRank, QuantileSearchCriteria searchCrit)
float[]	ReqSketch.getQuantiles(double[] normRanks, QuantileSearchCriteria searchCrit)
double	ReqSketch.getRank(float quantile, QuantileSearchCriteria searchCrit)
double[]	ReqSketch.getRanks(float[] quantiles, QuantileSearchCriteria searchCrit)