| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | Convert tab after WWW: in pkg-descrs to single space as per PHB | Dmitry Marakasov | 2016-05-23 | 1 | -1/+1 |
| | | | | | | | | Approved by: portmgr blanket Notes: svn path=/head/; revision=415738 | ||||
| * | Weka is a collection of machine learning algorithms for data mining tasks. The | Martin Wilke | 2007-01-22 | 1 | -0/+7 |
| algorithms can either be applied directly to a dataset 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. WWW: http://www.cs.waikato.ac.nz/ml/weka/ PR: ports/108143 Submitted by: Simon Olofsson <simon at olofsson.de> Notes: svn path=/head/; revision=182950 | |||||
 |
index : ports | |
| FreeBSD ports tree |
| aboutsummaryrefslogtreecommitdiff |