Inactive
25
I Use This!

Project Summary

Analyzed 7 days ago. based on code collected 7 days ago.

Apache 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, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well. The core libraries are highly optimized to allow for good performance also for non-distributed algorithms

Share

In a Nutshell, Apache Mahout...

Languages

Languages?height=75&width=75
Java
90%
5 Other
10%

Lines of Code

Activity

30 Day Summary

Jun 22 2016 — Jul 22 2016

12 Month Summary

Jul 22 2015 — Jul 22 2016

Community

Ratings

5 users rate this project:
3.6
   
3.6/5.0
 
Click to add your rating
   Spinner f6ecff617ec2ba7f559e6f535cad9b70a3f91120737535dab4d4548a6c83576c
 
Review this Project!