Index (elasticsearch-tdigest 8.14.3 API)

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A

AbstractTDigest - Class in org.elasticsearch.tdigest
AbstractTDigest() - Constructor for class org.elasticsearch.tdigest.AbstractTDigest
add(double) - Method in class org.elasticsearch.tdigest.TDigest: Add a single sample to this TDigest.
add(double, long) - Method in class org.elasticsearch.tdigest.AVLTreeDigest
add(double, long) - Method in class org.elasticsearch.tdigest.Centroid
add(double, long) - Method in class org.elasticsearch.tdigest.HybridDigest
add(double, long) - Method in class org.elasticsearch.tdigest.MergingDigest
add(double, long) - Method in class org.elasticsearch.tdigest.SortingDigest
add(double, long) - Method in class org.elasticsearch.tdigest.TDigest: Adds a sample to a histogram.
add(TDigest) - Method in class org.elasticsearch.tdigest.AbstractTDigest
add(TDigest) - Method in class org.elasticsearch.tdigest.HybridDigest
add(TDigest) - Method in class org.elasticsearch.tdigest.TDigest: Add all of the centroids of another TDigest to this one.
AVLTreeDigest - Class in org.elasticsearch.tdigest
AVLTreeDigest(double) - Constructor for class org.elasticsearch.tdigest.AVLTreeDigest: A histogram structure that will record a sketch of a distribution.

B

byteSize() - Method in class org.elasticsearch.tdigest.AVLTreeDigest: Returns an upper bound on the number bytes that will be required to represent this histogram.
byteSize() - Method in class org.elasticsearch.tdigest.HybridDigest
byteSize() - Method in class org.elasticsearch.tdigest.MergingDigest
byteSize() - Method in class org.elasticsearch.tdigest.SortingDigest: Returns an upper bound on the number bytes that will be required to represent this histogram.
byteSize() - Method in class org.elasticsearch.tdigest.TDigest: Returns the number of bytes required to encode this TDigest using #asBytes().

C

cdf(double) - Method in class org.elasticsearch.tdigest.AVLTreeDigest
cdf(double) - Method in class org.elasticsearch.tdigest.HybridDigest
cdf(double) - Method in class org.elasticsearch.tdigest.MergingDigest
cdf(double) - Method in class org.elasticsearch.tdigest.SortingDigest
cdf(double) - Method in class org.elasticsearch.tdigest.TDigest: Returns the fraction of all points added which are ≤ x.
cdf(double, double[]) - Static method in class org.elasticsearch.tdigest.Dist
cdf(double, List<Double>) - Static method in class org.elasticsearch.tdigest.Dist
Centroid - Class in org.elasticsearch.tdigest: A single centroid which represents a number of data points.
Centroid(double) - Constructor for class org.elasticsearch.tdigest.Centroid
Centroid(double, long) - Constructor for class org.elasticsearch.tdigest.Centroid
Centroid(double, long, int) - Constructor for class org.elasticsearch.tdigest.Centroid
centroidCount() - Method in class org.elasticsearch.tdigest.AVLTreeDigest
centroidCount() - Method in class org.elasticsearch.tdigest.HybridDigest
centroidCount() - Method in class org.elasticsearch.tdigest.MergingDigest
centroidCount() - Method in class org.elasticsearch.tdigest.SortingDigest
centroidCount() - Method in class org.elasticsearch.tdigest.TDigest
centroids() - Method in class org.elasticsearch.tdigest.AVLTreeDigest
centroids() - Method in class org.elasticsearch.tdigest.HybridDigest
centroids() - Method in class org.elasticsearch.tdigest.MergingDigest
centroids() - Method in class org.elasticsearch.tdigest.SortingDigest
centroids() - Method in class org.elasticsearch.tdigest.TDigest: A Collection that lets you go through the centroids in ascending order by mean.
compareTo(Centroid) - Method in class org.elasticsearch.tdigest.Centroid
compress() - Method in class org.elasticsearch.tdigest.AVLTreeDigest
compress() - Method in class org.elasticsearch.tdigest.HybridDigest
compress() - Method in class org.elasticsearch.tdigest.MergingDigest: Merges any pending inputs and compresses the data down to the public setting.
compress() - Method in class org.elasticsearch.tdigest.SortingDigest
compress() - Method in class org.elasticsearch.tdigest.TDigest: Re-examines a t-digest to determine whether some centroids are redundant.
compression() - Method in class org.elasticsearch.tdigest.AVLTreeDigest
compression() - Method in class org.elasticsearch.tdigest.HybridDigest
compression() - Method in class org.elasticsearch.tdigest.MergingDigest
compression() - Method in class org.elasticsearch.tdigest.SortingDigest
compression() - Method in class org.elasticsearch.tdigest.TDigest: Returns the current compression factor.
count() - Method in class org.elasticsearch.tdigest.Centroid
createAvlTreeDigest(double) - Static method in class org.elasticsearch.tdigest.TDigest: Creates an AVLTreeDigest.
createHybridDigest(double) - Static method in class org.elasticsearch.tdigest.TDigest: Creates a HybridDigest.
createMergingDigest(double) - Static method in class org.elasticsearch.tdigest.TDigest: Creates an MergingDigest.
createSortingDigest() - Static method in class org.elasticsearch.tdigest.TDigest: Creates a SortingDigest.

D

Dist - Class in org.elasticsearch.tdigest: Reference implementations for cdf and quantile if we have all data sorted.
Dist() - Constructor for class org.elasticsearch.tdigest.Dist

E

equals(Object) - Method in class org.elasticsearch.tdigest.Centroid

G

getMax() - Method in class org.elasticsearch.tdigest.HybridDigest
getMax() - Method in class org.elasticsearch.tdigest.TDigest
getMin() - Method in class org.elasticsearch.tdigest.HybridDigest
getMin() - Method in class org.elasticsearch.tdigest.TDigest
getScaleFunction() - Method in class org.elasticsearch.tdigest.MergingDigest

H

hashCode() - Method in class org.elasticsearch.tdigest.Centroid
HybridDigest - Class in org.elasticsearch.tdigest: Uses a SortingDigest implementation under the covers for small sample populations, then switches to MergingDigest.

I

id() - Method in class org.elasticsearch.tdigest.Centroid

K

k(double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Converts a quantile to the k-scale.
k(double, double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Converts a quantile to the k-scale.
K_0 - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates uniform cluster sizes.
K_1 - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates cluster sizes proportional to sqrt(q*(1-q)).
K_1_FAST - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates cluster sizes proportional to sqrt(q*(1-q)) but avoids computation of asin in the critical path by using an approximate version.
K_2 - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates cluster sizes proportional to q*(1-q).
K_2_NO_NORM - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates cluster sizes proportional to q*(1-q).
K_3 - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates cluster sizes proportional to min(q, 1-q).
K_3_NO_NORM - Enum constant in enum class org.elasticsearch.tdigest.ScaleFunction: Generates cluster sizes proportional to min(q, 1-q).

M

max(double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Computes the maximum relative size a cluster can have at quantile q.
max(double, double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Computes the maximum relative size a cluster can have at quantile q.
mean() - Method in class org.elasticsearch.tdigest.Centroid
MergingDigest - Class in org.elasticsearch.tdigest: Maintains a t-digest by collecting new points in a buffer that is then sorted occasionally and merged into a sorted array that contains previously computed centroids.
MergingDigest(double) - Constructor for class org.elasticsearch.tdigest.MergingDigest: Allocates a buffer merging t-digest.
MergingDigest(double, int) - Constructor for class org.elasticsearch.tdigest.MergingDigest: If you know the size of the temporary buffer for incoming points, you can use this entry point.
MergingDigest(double, int, int) - Constructor for class org.elasticsearch.tdigest.MergingDigest: Fully specified constructor.

N

normalizer(double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Computes the normalizer given compression and number of points.

O

org.elasticsearch.tdigest - module org.elasticsearch.tdigest
org.elasticsearch.tdigest - package org.elasticsearch.tdigest: T-Digest library

Q

q(double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Computes q as a function of k.
q(double, double, double) - Method in enum class org.elasticsearch.tdigest.ScaleFunction: Computes q as a function of k.
quantile(double) - Method in class org.elasticsearch.tdigest.AVLTreeDigest
quantile(double) - Method in class org.elasticsearch.tdigest.HybridDigest
quantile(double) - Method in class org.elasticsearch.tdigest.MergingDigest
quantile(double) - Method in class org.elasticsearch.tdigest.SortingDigest
quantile(double) - Method in class org.elasticsearch.tdigest.TDigest: Returns an estimate of a cutoff such that a specified fraction of the data added to this TDigest would be less than or equal to the cutoff.
quantile(double, double[]) - Static method in class org.elasticsearch.tdigest.Dist
quantile(double, List<Double>) - Static method in class org.elasticsearch.tdigest.Dist

R

reserve(long) - Method in class org.elasticsearch.tdigest.HybridDigest
reserve(long) - Method in class org.elasticsearch.tdigest.SortingDigest
reserve(long) - Method in class org.elasticsearch.tdigest.TDigest: Prepare internal structure for loading the requested number of samples.
reverse(double[], int, int) - Static method in class org.elasticsearch.tdigest.Sort: Reverses part of an array.
reverse(int[]) - Static method in class org.elasticsearch.tdigest.Sort: Reverses an array in-place.
reverse(int[], int, int) - Static method in class org.elasticsearch.tdigest.Sort: Reverses part of an array.

S

scale - Variable in class org.elasticsearch.tdigest.TDigest
ScaleFunction - Enum Class in org.elasticsearch.tdigest: Encodes the various scale functions for t-digests.
setRandomSeed(long) - Method in class org.elasticsearch.tdigest.AVLTreeDigest: Sets the seed for the RNG.
setScaleFunction(ScaleFunction) - Method in class org.elasticsearch.tdigest.MergingDigest
setScaleFunction(ScaleFunction) - Method in class org.elasticsearch.tdigest.TDigest
size() - Method in class org.elasticsearch.tdigest.AVLTreeDigest: Returns the number of samples represented in this histogram.
size() - Method in class org.elasticsearch.tdigest.HybridDigest
size() - Method in class org.elasticsearch.tdigest.MergingDigest
size() - Method in class org.elasticsearch.tdigest.SortingDigest
size() - Method in class org.elasticsearch.tdigest.TDigest: Returns the number of points that have been added to this TDigest.
sort(double[], double[]...) - Static method in class org.elasticsearch.tdigest.Sort: Quick sort in place of several paired arrays.
sort(double[], int, int, double[]...) - Static method in class org.elasticsearch.tdigest.Sort: Quick sort using an index array.
sort(int[], double[], double[], int) - Static method in class org.elasticsearch.tdigest.Sort: Two-key quick sort on (values, weights) using an index array
Sort - Class in org.elasticsearch.tdigest: Static sorting methods
Sort() - Constructor for class org.elasticsearch.tdigest.Sort
SortingDigest - Class in org.elasticsearch.tdigest: Simple implementation of the TDigest interface that stores internally and sorts all samples to calculate quantiles and CDFs.
SortingDigest() - Constructor for class org.elasticsearch.tdigest.SortingDigest
stableSort(int[], double[], int) - Static method in class org.elasticsearch.tdigest.Sort: Single-key stabilized quick sort on using an index array

T

TDigest - Class in org.elasticsearch.tdigest: Adaptive histogram based on something like streaming k-means crossed with Q-digest.
TDigest() - Constructor for class org.elasticsearch.tdigest.TDigest
toString() - Method in class org.elasticsearch.tdigest.Centroid
toString() - Method in class org.elasticsearch.tdigest.MergingDigest

U

useAlternatingSort - Variable in class org.elasticsearch.tdigest.MergingDigest
useTwoLevelCompression - Variable in class org.elasticsearch.tdigest.MergingDigest
useWeightLimit - Static variable in class org.elasticsearch.tdigest.MergingDigest

V

valueOf(String) - Static method in enum class org.elasticsearch.tdigest.ScaleFunction: Returns the enum constant of this class with the specified name.
values() - Static method in enum class org.elasticsearch.tdigest.ScaleFunction: Returns an array containing the constants of this enum class, in the order they are declared.

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