Re: Unsubscribe

2017-01-05 Thread Kyle Kelley
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Re: unsubscribe

2016-12-27 Thread Kyle Kelley
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Re: [VOTE] Release Apache Spark 2.0.1 (RC4)

2016-09-29 Thread Kyle Kelley
ssarily block this release. >>> >>> Q: What fix version should I use for patches merging into branch-2.0 >>> from now on? >>> A: Please mark the fix version as 2.0.2, rather than 2.0.1. If a new RC >>> (i.e. RC5) is cut, I will change the fix version of those patches to 2.0.1. >>> >>> >>> >> >> >> -- >> Luciano Resende >> http://twitter.com/lresende1975 >> http://lresende.blogspot.com/ >> > > -- Kyle Kelley (@rgbkrk <https://twitter.com/rgbkrk>; lambdaops.com)

Unable To Find Proto Buffer Class Error With RDD

2016-05-03 Thread kyle
-to-find-proto-buffer-class-error-with-rdd-protobuf Thanks, Kyle

Re: Implementing TinkerPop on top of GraphX

2015-01-16 Thread Kyle Ellrott
.com/tinkerpop/tinkerpop3/blob/master/hadoop-gremlin/src/main/java/com/tinkerpop/gremlin/hadoop/structure/HadoopGraph.java#L135 ). Kyle On Fri, Jan 16, 2015 at 1:01 PM, Kushal Datta wrote: > Hi David, > > > Yes, we are still headed in that direction. > Please take a look at the

Re: Implementing TinkerPop on top of GraphX

2014-11-18 Thread Kyle Ellrott
etely fails). Most of the classes are structured in the same way they are in the Gigraph implementation. There isn't much actual GraphX code in the project yet, just a framework to start working in. Hopefully this will keep the conversation going. Kyle On Fri, Nov 7, 2014 at 11:17 AM, Ku

Re: Implementing TinkerPop on top of GraphX

2014-11-07 Thread Kyle Ellrott
subclass their edge attribute to the edge attribute interface. Is that worth doing, versus adding an id to everyones's edges? Kyle On Thu, Nov 6, 2014 at 7:24 PM, Reynold Xin wrote: > Some form of graph querying support would be great to have. This can be a > great community project hos

Re: Implementing TinkerPop on top of GraphX

2014-11-06 Thread Kyle Ellrott
extra code and data structures that would need to be added to make it work, and those may not be directly applicable to all GraphX users. I think it would be best run as a separate module/project that builds directly on top of GraphX. Kyle On Thu, Nov 6, 2014 at 4:39 PM, York, Brennon wrote: &

Re: Implementing TinkerPop on top of GraphX

2014-11-06 Thread Kyle Ellrott
where parallelized into an RDD and merged with the existing graph. Its not efficient for large numbers of operations, but it passes unit tests and works for small graph tweaking. OLAP stuff looks completely new, but considering they have a Giraph implementation, it should be pretty straight forward. Kyle

Re: Implementing TinkerPop on top of GraphX

2014-11-06 Thread Kyle Ellrott
platform. Kyle On Thu, Nov 6, 2014 at 11:55 AM, Kushal Datta wrote: > What do you guys think about the Tinkerpop3 Gremlin interface? > It has MapReduce to run Gremlin operators in a distributed manner and > Giraph to execute vertex programs. > > The Tinkpop3 is better suited for Gra

Re: Implementing TinkerPop on top of GraphX

2014-11-06 Thread Kyle Ellrott
her better code examples and documentation before I started telling people about it. But if you want to start looking at the code, I can answer any questions you have. And if you would like to contribute, I would really appreciate the help. Kyle On Thu, Nov 6, 2014 at 11:42 AM, Reynold Xin wrote:

Re: [mllib] State of Multi-Model training

2014-09-17 Thread Kyle Ellrott
This sounds like a pretty major re-write of the system. Is it going to live in an different repo during development? Or will we be able to track progress in the main Spark repo? Kyle On Tue, Sep 16, 2014 at 10:22 PM, Burak Yavuz wrote: > Hi Kyle, > > Thank you for the code examples.

Re: [mllib] State of Multi-Model training

2014-09-16 Thread Kyle Ellrott
ble to use. Kyle On Tue, Sep 16, 2014 at 4:09 PM, Burak Yavuz wrote: > Hi Kyle, > > I'm actively working on it now. It's pretty close to completion, I'm just > trying to figure out bottlenecks and optimize as much as possible. > As Phase 1, I implemented multi model tr

[mllib] State of Multi-Model training

2014-09-16 Thread Kyle Ellrott
t been any notes on it in over a month. I submitted a pull request for a possible method to do this work a little over two months ago (https://github.com/apache/spark/pull/1292), but haven't yet received any feedback on the patch yet. Is anybody else working on multi-model training? Kyle