[jira] [Commented] (MAHOUT-1286) Memory-efficient DataModel, supporting fast online updates and element-wise iteration

[ https://issues.apache.org/jira/browse/MAHOUT-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13716025#comment-13716025 ] Ted Dunning commented on MAHOUT-1286: - It is pretty easy to do a differential heap du

[jira] [Commented] (MAHOUT-1286) Memory-efficient DataModel, supporting fast online updates and element-wise iteration

[ https://issues.apache.org/jira/browse/MAHOUT-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13715912#comment-13715912 ] Peng Cheng commented on MAHOUT-1286: Hi Sebastian, Gokhan, how do you feel about the

[jira] [Comment Edited] (MAHOUT-1286) Memory-efficient DataModel, supporting fast online updates and element-wise iteration

[ https://issues.apache.org/jira/browse/MAHOUT-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13715906#comment-13715906 ] Peng Cheng edited comment on MAHOUT-1286 at 7/23/13 12:26 AM: -

[jira] [Commented] (MAHOUT-1286) Memory-efficient DataModel, supporting fast online updates and element-wise iteration

[ https://issues.apache.org/jira/browse/MAHOUT-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13715906#comment-13715906 ] Peng Cheng commented on MAHOUT-1286: In another hand, I try to solve the problem by i

[jira] [Commented] (MAHOUT-1286) Memory-efficient DataModel, supporting fast online updates and element-wise iteration

[ https://issues.apache.org/jira/browse/MAHOUT-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13715885#comment-13715885 ] Peng Cheng commented on MAHOUT-1286: On second thought, hash map is very likely not t

Jenkins build is back to normal : Mahout-Quality #2153

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Build failed in Jenkins: Mahout-Examples-Cluster-Reuters-II #550

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Re: MongoDBDataModel additions

Paul, Actually we are now working on an OnlineRecommender, and we plan to support new users and items. You can find the discussion in "Regarding Online Recommenders" dev-list. You may want to take a look at it. Best, Gokhan On Mon, Jul 22, 2013 at 8:40 AM, Paul Scott wrote: > On 19/07/2013