Mahout's goal is to build scalable machine learning libraries. With scalable we mean: Scalable to reasonably large data sets. Our core algorithms for clustering, classification and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. H...
| Versija | Saugykla | Papročiai | Data | |
|---|---|---|---|---|
| 0.9.x | 0.9 | central | saus. 29, 2014 | |
| 0.8.x | 0.8 | central | liep. 08, 2013 | |
| 0.7.x | 0.7 | central | birž. 12, 2012 | |
| 0.6.x | 0.6 | central | vas. 01, 2012 | |
| 0.5.x | 0.5 | central | geg. 28, 2011 | |
| 0.4.x | 0.4 | central | spal. 28, 2010 | |
| 0.3.x | 0.3 | central | kov. 12, 2010 | |
| 0.2.x | 0.2 | central | lapkr. 12, 2009 | |
| 0.13.x | 0.13.0 | central | bal. 15, 2017 | |
| 0.12.x | 0.12.2 | central | birž. 13, 2016 | |
| 0.12.1 | central | geg. 18, 2016 | ||
| 0.12.0 | central | bal. 11, 2016 | ||
| 0.11.x | 0.11.2 | central | kov. 11, 2016 | |
| 0.11.1 | central | lapkr. 06, 2015 | ||
| 0.11.0 | central | rugp. 06, 2015 | ||
| 0.10.x | 0.10.2 | central | rugp. 05, 2015 | |
| 0.10.1 | central | geg. 31, 2015 | ||
| 0.10.0 | central | bal. 11, 2015 |