[ https://issues.apache.org/jira/browse/SPARK-19345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15888579#comment-15888579 ]
Apache Spark commented on SPARK-19345: -------------------------------------- User 'MLnick' has created a pull request for this issue: https://github.com/apache/spark/pull/17102 > Add doc for "coldStartStrategy" usage in ALS > -------------------------------------------- > > Key: SPARK-19345 > URL: https://issues.apache.org/jira/browse/SPARK-19345 > Project: Spark > Issue Type: Documentation > Components: ML > Reporter: Nick Pentreath > Assignee: Nick Pentreath > > SPARK-14489 adds the ability to skip {{NaN}} predictions during > {{ALS.transform}}. This can be useful in production scenarios but is > particularly useful when trying to use the cross-validation classes with ALS, > since in many cases the test set will have users/items that are not in the > training set, leading to evaluation metrics that are all {{NaN}} and making > cross-validation unusable. > Add an explanation for the {{coldStartStrategy}} param to the ALS > documentation, and add example code to illustrate the usage. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org