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 ro
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
wrote:
> What is the best
You can use a JIRA filter to find JIRAs of the component(s) you're
interested in.
Then sort by Priority.
Maybe comment on the JIRA if you want to work on it.
On Fri, Jun 17, 2016 at 3:22 PM, Pedro Rodriguez
wrote:
> What is the best way to determine what the library maintainers believe is
> imp
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 b
Here are some guidelines about contributing to Spark:
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
There is also a section specific to MLlib:
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-MLlib-specificContributionGuideline
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
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"
To: dev@spark.apache.org
Sent: Tuesday, August 5, 2014 2:43:04 PM
Subject: Hello All
Im new to Spark
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
