Sorry you are sick. Thanks for the tip. Spark has a client launcher method "spark-class …Client launch ..." but I’m not having much success with that.
As to the statement "There is not, nor do i think there will be a way to run this stuff with CLI” seems unduly misleading. Really, does anyone second this? There will be Scala scripts to drive this stuff and yes even from the CLI. Do you imagine that every Mahout USER will be a Scala + Mahout DSL programmer? That may be fine for commiters but users will be PHP devs, Ruby devs, Python or Java devs maybe even a few C# devs. I think you are confusing Mahout DEVS with USERS. Few users are R devs moving into production work, they are production engineers moving into ML who want a blackbox. They will need a language agnostic way to drive Mahout. Making statements like this only confuse potential users and drive them away to no purpose. I’m happy for the nascent Mahout-Scala shell, but it’s not in the typical user’s world view. Sorry, end-of-rant. On Apr 15, 2014, at 10:14 AM, Dmitriy Lyubimov (JIRA) <j...@apache.org> wrote: [ https://issues.apache.org/jira/browse/MAHOUT-1464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13969763#comment-13969763 ] Dmitriy Lyubimov commented on MAHOUT-1464: ------------------------------------------ [My] Silence idicates I've been pretty sick :) I thought i explained in my email we are not planning CLI. We are planning script shell instead. There is not, nor do i think there will be a way to run this stuff with CLI, just like there's no way to invoke a particular method in R without writing a short script. That said, yes, you can try to run it as a java application, i.e. [java|scala] -cp <cp>. <class name> where -cp is what `mahout classpath` returns. > Cooccurrence Analysis on Spark > ------------------------------ > > Key: MAHOUT-1464 > URL: https://issues.apache.org/jira/browse/MAHOUT-1464 > Project: Mahout > Issue Type: Improvement > Components: Collaborative Filtering > Environment: hadoop, spark > Reporter: Pat Ferrel > Assignee: Sebastian Schelter > Fix For: 1.0 > > Attachments: MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch, > MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch, run-spark-xrsj.sh > > > Create a version of Cooccurrence Analysis (RowSimilarityJob with LLR) that > runs on Spark. This should be compatible with Mahout Spark DRM DSL so a DRM > can be used as input. > Ideally this would extend to cover MAHOUT-1422. This cross-cooccurrence has > several applications including cross-action recommendations. -- This message was sent by Atlassian JIRA (v6.2#6252)
