[
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
