[ https://issues.apache.org/jira/browse/SPARK-11696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley closed SPARK-11696. ------------------------------------- Resolution: Won't Fix [~Narine] I just commented on your PR about this, but I'd like to close this and focus on the spark.ml DataFrame-based API instead. It'd be nice to get your feedback there, on separate JIRAs. Thank you! > MLLIB:Optimization - Extend optimizer output for GradientDescent and LBFGS > -------------------------------------------------------------------------- > > Key: SPARK-11696 > URL: https://issues.apache.org/jira/browse/SPARK-11696 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib > Affects Versions: 1.6.0 > Reporter: Narine Kokhlikyan > > Hi there, > in current implementation the Optimization:optimize() method returns only the > weights for the features. > However, we could make it more transparent and provide more parameters about > the optimization, e.g. number of iteration, error, etc. > As discussed in bellow jira, this will be useful: > https://issues.apache.org/jira/browse/SPARK-5575 > What do you think ? > Thanks, > Narine -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org