[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Affects Version/s: (was: 1.4.0) Large rank matrix factorization with Nonlinear loss and

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-6323: - Target Version/s: (was: 1.5.0) Large rank matrix factorization with Nonlinear loss and

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-6323: - Target Version/s: 1.5.0 (was: 1.4.0) Large rank matrix factorization with Nonlinear

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-6323: - Fix Version/s: (was: 1.4.0) Large rank matrix factorization with Nonlinear loss and constraints

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which scales

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which only

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which only

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which scales

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which only

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which only

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which only

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which only

[jira] [Updated] (SPARK-6323) Large rank matrix factorization with Nonlinear loss and constraints

[ https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Debasish Das updated SPARK-6323: Description: Currently ml.recommendation.ALS is optimized for gram matrix generation which scales