Looking at https://github.com/kdatta/tinkerpop3/compare/graphx-gremlin I
only see a maven build file. Do you have some source code some place else?
I've worked on a spark based implementation (
https://github.com/kellrott/spark-gremlin ), but its not done and I've been
tied up on other projects.
I
we are talking about, all of
> these operations can be done within GraphX. I will be interested to
> co-develop the query engine.
>
> @Reynold, I agree. And as I said earlier, the apis should be designed in
> such a way that it can be used in any Graph DSL.
>
> On Fri, Nov 7, 2014
primitives in order to support the new ql implementation.
> There might also be inherent mismatches in the way the external API is
> defined vs what GraphX can support. We should discuss those on a
> case-by-case basis.
>
>
> On Thu, Nov 6, 2014 at 5:42 PM, Kyle Ellrott
> wrote
tain the
> features described within the TinkerPop API as that might change in the
> future.
>
> From: Kushal Datta
> Date: Thursday, November 6, 2014 at 4:00 PM
> To: "York, Brennon"
> Cc: Kyle Ellrott , Reynold Xin ,
> "dev@spark.apache.org" , Matth
mentation of each of the individual API’s (Structure, Process, and, if
> OLAP, GraphComputer) necessary for gremlin-core. Thoughts?
>
>
> From: Kyle Ellrott
> Date: Thursday, November 6, 2014 at 12:10 PM
> To: Kushal Datta
> Cc: Reynold Xin , "York, Brennon" <
phX.
>
> On Thu, Nov 6, 2014 at 11:48 AM, Kyle Ellrott
> wrote:
>
>> I've taken a crack at implementing the TinkerPop Blueprints API in GraphX
>> (
>> https://github.com/kellrott/sparkgraph ). I've also implemented portions
>> of
>> the Gremlin Se
I've taken a crack at implementing the TinkerPop Blueprints API in GraphX (
https://github.com/kellrott/sparkgraph ). I've also implemented portions of
the Gremlin Search Language and a Parquet based graph store.
I've been working out finalize some code details and putting together
better code exam
dback from you and the rest of the
> community!
>
> Best,
> Burak
>
> - Original Message -
> From: "Kyle Ellrott"
> To: "Burak Yavuz"
> Cc: dev@spark.apache.org
> Sent: Tuesday, September 16, 2014 9:41:45 PM
> Subject: Re: [mllib] Sta
rk/pull/2294) as making use of sparsity will
> allow you to train more models at once.
>
> Best,
> Burak
>
> - Original Message -
> From: "Kyle Ellrott"
> To: dev@spark.apache.org
> Sent: Tuesday, September 16, 2014 3:21:53 PM
> Subject: [mllib] S
I'm curious about the state of development Multi-Model learning in MLlib
(training sets of models during the same training session, rather then one
at a time). The JIRA lists it as in progress targeting Spark 1.2.0 (
https://issues.apache.org/jira/browse/SPARK-1486 ). But there hasn't been
any note
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