1.

What Are The Features Of Apache Mahout?

Answer»

Although relatively young in open source terms, Mahout already has a large amount of FUNCTIONALITY, ESPECIALLY in relation to clustering and CF. Mahout’s primary features are:

  • Taste CF. Taste is an open source project for CF started by Sean Owen on SourceForge and donated to Mahout in 2008.
  • Several Mapreduce enabled clustering implementations, INCLUDING k-Means, fuzzy k-Means, CANOPY, Dirichlet, and Mean-Shift.
  • Distributed Naive Bayes and Complementary Naive Bayes classification implementations.
  • Distributed fitness function capabilities for evolutionary programming.
  • Matrix and vector libraries.
  • Examples of all of the above algorithms.

Although relatively young in open source terms, Mahout already has a large amount of functionality, especially in relation to clustering and CF. Mahout’s primary features are:


Discussion

No Comment Found

Related InterviewSolutions