weka 3.6.13-1 source package in Ubuntu
Changelog
weka (3.6.13-1) unstable; urgency=medium * New upstream release. -- tony mancill <email address hidden> Tue, 13 Oct 2015 22:15:21 -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 | |
|---|---|---|---|---|
| Xenial | release | universe | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| weka_3.6.13-1.dsc | 2.1 KiB | 587cc4f30316b1a8b7480b13c8d7da298151e9224b5bd387b60dd0e297606a8a |
| weka_3.6.13.orig.tar.gz | 13.8 MiB | cc3992ddc4b46e7788359f95067e79f2cd147518d30e6c2027eee9c989f3ae1c |
| weka_3.6.13-1.debian.tar.xz | 10.2 KiB | 32513bc4aacfdf72acf31c942eba0ec209e800dee6bf61854d4103fb585bb41d |
Available diffs
- diff from 3.6.12-2 to 3.6.13-1 (41.9 KiB)
No changes file available.
Binary packages built by this source
- weka: No summary available for weka in ubuntu yakkety.
No description available for weka in ubuntu yakkety.
- weka-doc: 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 documentation.
