19 lines
No EOL
855 B
XML
19 lines
No EOL
855 B
XML
<?xml version="1.0" encoding="UTF-8"?>
|
|
<component type="desktop">
|
|
<id>weka.desktop</id>
|
|
<name>Weka</name>
|
|
<summary>Waikato Environment for Knowledge Analysis</summary>
|
|
<url type="homepage">http://www.cs.waikato.ac.nz/ml/weka/</url>
|
|
<url type="bugtracker">http://jira.pentaho.com/browse/DATAMINING</url>
|
|
<metadata_license>CC0-1.0</metadata_license>
|
|
<project_license>GPL-2.0+</project_license>
|
|
<description>
|
|
<p>
|
|
Weka is a collection of machine learning algorithms for data mining tasks.
|
|
The algorithms can either be applied directly to a data-set or called from
|
|
your own Java code. Weka contains tools for data pre-processing,
|
|
classification, regression, clustering, association rules, and visualization.
|
|
It is also well-suited for developing new machine learning schemes.
|
|
</p>
|
|
</description>
|
|
</component> |