Hi Harmeet,
I'll add one more item to the other advice: The community is in the process
of putting together a roadmap JIRA for 2.1 for ML:
https://issues.apache.org/jira/browse/SPARK-15581
This JIRA lists some of the major items and links to a few umbrella JIRAs
with subtasks. I'd expect this
Another good signal is the "target version" (which by convention is only
set by committers). When I set this for the upcoming version it means I
think its important enough that I will prioritize reviewing a patch for it.
On Fri, Jun 17, 2016 at 3:22 PM, Pedro Rodriguez
What is the best way to determine what the library maintainers believe is
important work to be done?
I have looked through the JIRA and its unclear what are priority items one
could do work on. I am guessing this is in part because things are a little
hectic with final work for 2.0, but it would
Dear All,
Looking for guidance.
I am Interested in contributing to the Spark MLlib. Could you please take a few
minutes to guide me as to what you would consider an ideal path / skill an
individual should posses.
I know R / Python / Java / C and C++
I have a firm understanding of algorithms
Im new to Spark community. Actively working on Hadoop eco system ( more
specifically YARN). I'm very keen on getting my hands dirtily with Spark.
Please let me know any pointers to start with.
Thanks in advance
Best regards
Guru Yeleswarapu
where a list of issues exist that need fixing. You can also request or propose
new additions to Spark.
Happy coding!
Burak
- Original Message -
From: Gurumurthy Yeleswarapu guru...@yahoo.com.INVALID
To: dev@spark.apache.org
Sent: Tuesday, August 5, 2014 2:43:04 PM
Subject: Hello All
Im