weka 3.6.14-1 source package in Ubuntu
Changelog
weka (3.6.14-1) unstable; urgency=medium * New upstream version. * Tweak weka-doc package description. * Bump Standards-Version to 3.9.8 (no changes). * Use HTTPS for Vcs URLs. -- tony mancill <email address hidden> Sun, 07 Aug 2016 19:29:59 -0700
Upload details
- Uploaded by:
- Debian Java Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian Java Maintainers
- Architectures:
- all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Focal | release | universe | science | |
| Bionic | release | universe | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| weka_3.6.14-1.dsc | 2.1 KiB | 3c5fc87c2997086adbc0ad7cbce487dd6338f20ee26d2e116bf20b74a6605258 |
| weka_3.6.14.orig.tar.gz | 13.9 MiB | bef592188ef4da3488c6043e782c6c8cea42877364d8a2be68d4d61b9a602368 |
| weka_3.6.14-1.debian.tar.xz | 10.2 KiB | a1c31c26cc668dfb87e746b3c06f980e741d9258e63a43f8e78be4fe92503d92 |
Available diffs
- diff from 3.6.13-1 to 3.6.14-1 (9.6 KiB)
No changes file available.
Binary packages built by this source
- weka: Machine learning algorithms for data mining tasks
Weka is a collection of machine learning algorithms in Java that can
either be used from the command-line, or called from your own Java
code. Weka is also ideally suited for developing new machine learning
schemes.
.
Implemented schemes cover decision tree inducers, rule learners, model
tree generators, support vector machines, locally weighted regression,
instance-based learning, bagging, boosting, and stacking. Also included
are clustering methods, and an association rule learner. Apart from
actual learning schemes, Weka also contains a large variety of tools
that can be used for pre-processing datasets.
.
This package contains the binaries and examples.
- weka-doc: No summary available for weka-doc in ubuntu hirsute.
No description available for weka-doc in ubuntu hirsute.
