[ https://issues.apache.org/jira/browse/SPARK-5362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-5362. --------------------------------- Resolution: Incomplete > Gradient and Optimizer to support generic output (instead of label) and data > batches > ------------------------------------------------------------------------------------ > > Key: SPARK-5362 > URL: https://issues.apache.org/jira/browse/SPARK-5362 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.2.0 > Reporter: Alexander Ulanov > Priority: Major > Labels: bulk-closed > Original Estimate: 24h > Remaining Estimate: 24h > > Currently, Gradient and Optimizer interfaces support data in form of > RDD[Double, Vector] which refers to label and features. This limits its > application to classification problems. For example, artificial neural > network demands Vector as output (instead of label: Double). Moreover, > current interface does not support data batches. I propose to replace label: > Double with output: Vector. It enables passing generic output instead of > label and also passing data and output batches stored in corresponding > vectors. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org