Hello,Following up on my last email with more specifics, I've looked through
the wiki (https://mahout.apache.org/users/basics/algorithms.html) and I'm
interested in implementing the one or more of the following algorithms with
Mahout using spark: 1) Matrix Factorization with ALS 2) Naive Bayes 3) Weighted
Matrix Factorization, SVD++ 4) Sparse TF-IDF Vectors from Text 5) Lucene
integration.
Had a few questions:1) Which of these should I start with and where is there
the greatest need?2) Should I fork the repo and create branches for the each of
the above implementations?3) Should I go ahead and create some JIRAs for these?
Would love to have some pointers to get started?Regards
From: sxk1...@hotmail.com
To: dev@mahout.apache.org
Subject: Mahout contributions
Date: Wed, 30 Mar 2016 10:23:45 -0700
Hello Committers,I was looking through the current jira tickets and was
wondering if there's a particular area of Mahout that needs some more help than
others, should I focus on contributing some algorithms usign DSL or Samsara
related efforts, I've finally got some bandwidth to do some work and would love
some guidance before assigning myself some tickets.Regards
