In fact, prec@k is similar to HR and ndcg@k is similar to ARHR
After my study, I cannot find a best measure to evaluate recommendation system
Xiangrui, do you think it is reasonable to create a class to provide popular
measures for evaluating recommendation system?
Popular measures of
Hi Yu,
A standardized API has not been implemented yet. I think it would be
better to implement the other clustering algorithms then extract a common
API. Others may feel differently. :)
Just a note, there was a pre-existing JIRA for hierarchical KMeans
SPARK-2429
Hey RJ,
Sorry for the delay, I'd be happy to take a look at this if you can post the
code!
I think splitting the largest cluster in each round is fairly common, but
ideally it would be an option to do it one way or the other.
-- Jeremy
-
jeremy freeman, phd
neuroscientist
Thanks, Jeremy. I'm abandoning my initial approach, and I'll work on
optimizing your example (so it doesn't do the breeze-vector conversions
every time KMeans is called). I need to finish a few other projects first,
though, so it may be a couple weeks.
In the mean time, Yu also created a JIRA
Hi Rajendran,
I'm assuming you have some concept of schema and you are intending to
integrate with SchemaRDD instead of normal RDDs.
More responses inline below.
On Fri, Aug 22, 2014 at 2:21 AM, Rajendran Appavu appra...@in.ibm.com
wrote:
I am new to Spark source code and looking to see if
You may start from here
https://github.com/apache/spark/blob/4fa2fda88fc7beebb579ba808e400113b512533b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala#L706-L712
.
On Mon, Aug 25, 2014 at 9:05 PM, rapelly kartheek kartheek.m...@gmail.com
wrote:
Hi,
I've exercised multiple
On Tue, Aug 26, 2014 at 2:21 PM, Josh Rosen rosenvi...@gmail.com wrote:
Last weekend, I started hacking on a Google App Engine app for helping
with pull request review (screenshot: http://i.imgur.com/wwpZKYZ.png).
BTW Josh, how can we stay up-to-date on your work on this tool? A JIRA
issue,
Hi all,
PR #720 https://github.com/apache/spark/pull/720 made multiple changes
to GraphGenerator.logNormalGraph including:
- Replacing the call to functions for generating random vertices and
edges with in-line implementations with different equations. Based on
reading the Pregel
Linking to the JIRA tracking APIs to hook into the planner:
https://issues.apache.org/jira/browse/SPARK-3248
On Wed, Aug 27, 2014 at 1:56 PM, Reynold Xin r...@databricks.com wrote:
Hi Rajendran,
I'm assuming you have some concept of schema and you are intending to
integrate with SchemaRDD
Wonder if it would make sense to introduce a notion of 'Reviewers' as an
intermediate tier to help distribute the load? While anyone can review and
comment on an open PR, reviewers would be able to say aye or nay subject to
confirmation by a committer?
Thanks,
Nishkam
On Wed, Aug 27, 2014 at
I believe in your case, the “magic” happens in TableReader.fillObject
https://github.com/apache/spark/blob/4fa2fda88fc7beebb579ba808e400113b512533b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala#L706-L712.
Here we unwrap the field value according to the object inspector of that
Hey Nishkam,
To some extent we already have this process - many community members
help review patches and some earn a reputation where committer's will
take an LGTM from them seriously. I'd be interested in seeing if any
other projects recognize people who do this.
- Patrick
On Wed, Aug 27,
I have a very simple dashboard running at http://spark-prs.appspot.com/.
Currently, this mirrors the functionality of Patrick’s github-shim, but it
should be very easy to extend with other features.
The source is at https://github.com/databricks/spark-pr-dashboard (pull
requests and issues
Alright! That was quick. :)
On Wed, Aug 27, 2014 at 6:48 PM, Josh Rosen rosenvi...@gmail.com wrote:
I have a very simple dashboard running at http://spark-prs.appspot.com/.
Currently, this mirrors the functionality of Patrick’s github-shim, but it
should be very easy to extend with other
Looks like we're currently at 1.568 so we should be getting a nice slew of
UI tweaks and bug fixes. Neat!
On Wed, Aug 27, 2014 at 7:13 PM, shane knapp skn...@berkeley.edu wrote:
tomorrow morning i will be upgrading jenkins to the latest/greatest
(1.577).
at 730am, i will put jenkins in to a
I see. Yeah, it would be interesting to know if any other project has
considered formalizing this notion. It may also enable assignment of
reviews (potentially automated using Josh's system) and maybe anonymity as
well? On the downside, it isn't easily implemented and probably doesn't
come without
Hi,
We have migrated Pig functionality on top of Spark passing 100% e2e for
success cases in pig test suite. That means UDF, Joins other
functionality is working quite nicely. We are in the process of merging
with Apache Pig trunk(something that should happen over the next 2 weeks).
Meanwhile if
Awesome to hear this, Mayur! Thanks for putting this together.
Matei
On August 27, 2014 at 10:04:12 PM, Mayur Rustagi (mayur.rust...@gmail.com)
wrote:
Hi,
We have migrated Pig functionality on top of Spark passing 100% e2e for success
cases in pig test suite. That means UDF, Joins other
I am going to dig into this issue:
https://issues.apache.org/jira/browse/SPARK-2096
However, I noticed that there is already a NestedSqlParser in sql/core/test
org.apache.spark.sql.parquet.
I checked this parser and it could solve the issue I mentioned before. But
why the author of the parser
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