Package com.tdunning.math.stats

Class Summary

Class	Description
AbstractTDigest
AVLTreeDigest
Centroid	A single centroid which represents a number of data points.
Comparison	Static class with methods for comparing distributions.
Dist	Reference implementations for cdf and quantile if we have all data.
FloatHistogram	Maintains histogram buckets that are constant width in base-2 floating point representation space.
Histogram	A Histogram is a histogram with cleverly chosen, but fixed, bin widths.
LogHistogram	Non-linear histogram that uses floating point representation plus a quadratic correction to bin width to achieve tighter fit to the ideal log2 sizing.
MergingDigest	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.
Simple64	Very simple variable byte encoding that always uses 64bit units.
Sort	Static sorting methods
TDigest	Adaptive histogram based on something like streaming k-means crossed with Q-digest.

Enum Summary

Enum	Description
MergingDigest.Encoding
ScaleFunction	Encodes the various scale functions for t-digests.