[jira] [Updated] (MAHOUT-974) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Schelter updated MAHOUT-974: -- Resolution: Fixed Status: Resolved (was: Patch Available) test issue is fixed, problem was that two test classes used the same class with a static final variable. org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId --- Key: MAHOUT-974 URL: https://issues.apache.org/jira/browse/MAHOUT-974 Project: Mahout Issue Type: Wish Components: Collaborative Filtering Affects Versions: 0.8 Reporter: Han Hui Wen Assignee: Sebastian Schelter Labels: CF,recommendation,als Fix For: 0.8 Attachments: MAHOUT-974.patch Original Estimate: 2h Remaining Estimate: 2h org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses integer as userId and itemId,but org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and ItemId. It's best that ParallelALSFactorizationJob also uses Long as userId and itemId ,so that same dataset can use all the recommendation arithrmetic -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-974) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Schelter updated MAHOUT-974: -- Status: Patch Available (was: Open) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId --- Key: MAHOUT-974 URL: https://issues.apache.org/jira/browse/MAHOUT-974 Project: Mahout Issue Type: Wish Components: Collaborative Filtering Affects Versions: 0.8 Reporter: Han Hui Wen Assignee: Sebastian Schelter Labels: CF,recommendation,als Fix For: 0.8 Attachments: MAHOUT-974.patch Original Estimate: 2h Remaining Estimate: 2h org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses integer as userId and itemId,but org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and ItemId. It's best that ParallelALSFactorizationJob also uses Long as userId and itemId ,so that same dataset can use all the recommendation arithrmetic -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-974) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Schelter updated MAHOUT-974: -- Attachment: MAHOUT-974.patch Patch that adds the functionality. Tests don't work in parallel mode for some strange reason though, in single/IDE execution, everything works. Will probably look into this tonight or tomorrow. org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId --- Key: MAHOUT-974 URL: https://issues.apache.org/jira/browse/MAHOUT-974 Project: Mahout Issue Type: Wish Components: Collaborative Filtering Affects Versions: 0.8 Reporter: Han Hui Wen Assignee: Sebastian Schelter Labels: CF,recommendation,als Fix For: 0.8 Attachments: MAHOUT-974.patch Original Estimate: 2h Remaining Estimate: 2h org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses integer as userId and itemId,but org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and ItemId. It's best that ParallelALSFactorizationJob also uses Long as userId and itemId ,so that same dataset can use all the recommendation arithrmetic -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-974) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Schelter updated MAHOUT-974: -- Affects Version/s: (was: 0.6) 0.8 org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId --- Key: MAHOUT-974 URL: https://issues.apache.org/jira/browse/MAHOUT-974 Project: Mahout Issue Type: Wish Components: Collaborative Filtering Affects Versions: 0.8 Reporter: Han Hui Wen Assignee: Sebastian Schelter Labels: CF,recommendation,als Original Estimate: 2h Remaining Estimate: 2h org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses integer as userId and itemId,but org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and ItemId. It's best that ParallelALSFactorizationJob also uses Long as userId and itemId ,so that same dataset can use all the recommendation arithrmetic -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-974) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Schelter updated MAHOUT-974: -- Fix Version/s: 0.8 org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId --- Key: MAHOUT-974 URL: https://issues.apache.org/jira/browse/MAHOUT-974 Project: Mahout Issue Type: Wish Components: Collaborative Filtering Affects Versions: 0.8 Reporter: Han Hui Wen Assignee: Sebastian Schelter Labels: CF,recommendation,als Fix For: 0.8 Original Estimate: 2h Remaining Estimate: 2h org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses integer as userId and itemId,but org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and ItemId. It's best that ParallelALSFactorizationJob also uses Long as userId and itemId ,so that same dataset can use all the recommendation arithrmetic -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-974) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId
[ https://issues.apache.org/jira/browse/MAHOUT-974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated MAHOUT-974: - Fix Version/s: (was: 0.7) Assignee: Sebastian Schelter (was: Sean Owen) org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob use integer as userId and itemId --- Key: MAHOUT-974 URL: https://issues.apache.org/jira/browse/MAHOUT-974 Project: Mahout Issue Type: Wish Components: Collaborative Filtering Affects Versions: 0.6 Reporter: Han Hui Wen Assignee: Sebastian Schelter Labels: CF,recommendation,als Original Estimate: 2h Remaining Estimate: 2h org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob uses integer as userId and itemId,but org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob and org.apache.mahout.cf.taste.hadoop.item.RecommenderJob .use Long as userId and ItemId. It's best that ParallelALSFactorizationJob also uses Long as userId and itemId ,so that same dataset can use all the recommendation arithrmetic -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira
