[ https://issues.apache.org/jira/browse/SPARK-1227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-1227. ------------------------------ Resolution: Won't Fix > Diagnostics for Classification&Regression > ----------------------------------------- > > Key: SPARK-1227 > URL: https://issues.apache.org/jira/browse/SPARK-1227 > Project: Spark > Issue Type: Improvement > Components: MLlib > Reporter: Martin Jaggi > Assignee: Martin Jaggi > > Currently, the attained objective function is not computed (for efficiency > reasons, as one evaluation requires one full pass through the data). > For diagnostics and comparing different algorithms, we should however provide > this as a separate function (one MR). > Doing this requires the loss and regularizer functions themselves, not only > their gradients (which are currently in the Gradient class). How about adding > the new function directly on the corresponding models in classification/* and > regression/* ? Any thoughts? -- 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