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Source: t-digest
Section: java
Priority: optional
Maintainer: Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org>
Uploaders: tony mancill <tmancill@debian.org>
Build-Depends: debhelper (>= 11), default-jdk, maven-debian-helper (>= 1.5)
Build-Depends-Indep: libmaven-javadoc-plugin-java, default-jdk-doc
Standards-Version: 4.3.0
Vcs-Git: https://salsa.debian.org/java-team/t-digest.git
Vcs-Browser: https://salsa.debian.org/java-team/t-digest
Homepage: https://github.com/tdunning/t-digest
Package: libt-digest-java
Architecture: all
Depends: ${misc:Depends}, ${maven:Depends}
Suggests: ${maven:OptionalDepends}, libt-digest-java-doc
Description: Data structure for quantiles and related rank statistics
The t-digest construction algorithm uses a variant of 1-dimensional
k-means clustering to product a data structure that is related to the
Q-digest. This t-digest data structure can be used to estimate
quantiles or compute other rank statistics. The advantage of the
t-digest over the Q-digest is that the t-digest can handle floating
point values while the Q-digest is limited to integers. With small
changes, the t-digest can handle any values from any ordered set that
has something akin to a mean. The accuracy of quantile estimates
produced by t-digests can be orders of magnitude more accurate than
those produced by Q-digests in spite of the fact that t-digests are
more compact when stored on disk.
Package: libt-digest-java-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, ${maven:DocDepends}
Recommends: ${maven:DocOptionalDepends}
Suggests: libt-digest-java
Description: Documentation for libt-digest-java
Data structure which allows accurate estimation of quantiles and related
rank statistics
.
This package contains the API documentation of libt-digest-java.
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