ruby-classifier-reborn 2.2.0-3 source package in Ubuntu
Changelog
ruby-classifier-reborn (2.2.0-3) unstable; urgency=medium
* Team upload.
[ Debian Janitor ]
* Remove constraints unnecessary since buster:
+ Build-Depends: Drop versioned constraint on ruby-fast-stemmer.
[ Daniel Leidert ]
* Update watch file.
[ HIGUCHI Daisuke (VDR dai) ]
* eliminate lintian warning: update-debian-copyright
* Bump debhelper from old 12 to 13.
* Bump Standard Version: 4.6.1
-- HIGUCHI Daisuke (VDR dai) <email address hidden> Mon, 18 Jul 2022 11:01:35 +0900
Upload details
- Uploaded by:
- Debian Ruby Extras Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian Ruby Extras Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc | |
| Noble | release | universe | misc | |
| Mantic | release | universe | misc | |
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| ruby-classifier-reborn_2.2.0-3.dsc | 2.1 KiB | 63c71178f12eea15403a708c87eda8d1f0491eb96ff97bf9ea0688a926847e99 |
| ruby-classifier-reborn_2.2.0.orig.tar.gz | 45.6 KiB | 1612fb5d0344b3a9b6c12c146a139178da6ff786f33614b67da790edd978ed8b |
| ruby-classifier-reborn_2.2.0-3.debian.tar.xz | 163.0 KiB | bc3096f3c8d2f997fb9fde900793ce6eff542dfa719f2c8c96d3854d77a6c90e |
Available diffs
- diff from 2.2.0-2 to 2.2.0-3 (1.3 KiB)
No changes file available.
Binary packages built by this source
- ruby-classifier-reborn: Successor of Ruby::Classifier
Classifier is a general module to allow Bayesian and other types of
classifications. Classifier Reborn is a fork of original classifier
under more active development.
.
This package provides Bayes classifier and Latent Semantic
Indexer. Bayesian Classifiers are accurate, fast, and have modest
memory requirements. Latent Semantic Indexing engines are not as fast
or as small as Bayesian classifiers, but are more flexible, providing
fast search and clustering detection as well as semantic analysis of
the text that theoretically simulates human learning.
