weka 3.6.6-1 source package in Ubuntu
Changelog
weka (3.6.6-1) unstable; urgency=low * Team upload. * New upstream version (Closes: #649734) * Update rules and build-deps for default-jdk and default-jre. -- Ubuntu Archive Auto-Sync <email address hidden> Mon, 05 Dec 2011 11:05:11 +0000
Upload details
- Uploaded by:
- Ubuntu Archive Auto-Sync
- Uploaded to:
- Precise
- Original maintainer:
- Debian Java Maintainers
- Architectures:
- all
- Section:
- science
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Precise | release | universe | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| weka_3.6.6.orig.tar.gz | 12.1 MiB | 2b53369529064febd543a3f7246b5b92165525ccdc7f5c4d86815d6cb876c5a3 |
| weka_3.6.6-1.debian.tar.gz | 10.9 KiB | c521aaee3e5d81616ad7d652b755af755baefe9844c78e74e9cfd0ddd08ce1a7 |
| weka_3.6.6-1.dsc | 2.1 KiB | 3d99c298e6d00e131eb28b1cf54c55411d99a6271cb7dd53cb8b75779c4fc2cc |
Available diffs
- diff from 3.6.5-1 to 3.6.6-1 (47.5 KiB)
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 raring.
No description available for weka-doc in ubuntu raring.
