[
https://issues.apache.org/jira/browse/SPARK-7883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Patrick Wendell updated SPARK-7883:
-----------------------------------
Labels: (was: spark.tc)
> Fixing broken trainImplicit example in MLlib Collaborative Filtering
> documentation.
> -----------------------------------------------------------------------------------
>
> Key: SPARK-7883
> URL: https://issues.apache.org/jira/browse/SPARK-7883
> Project: Spark
> Issue Type: Bug
> Components: Documentation, MLlib
> Affects Versions: 1.0.2, 1.1.1, 1.2.2, 1.3.1, 1.4.0
> Reporter: Mike Dusenberry
> Assignee: Mike Dusenberry
> Priority: Trivial
> Fix For: 1.0.3, 1.1.2, 1.2.3, 1.3.2, 1.4.0
>
>
> The trainImplicit Scala example near the end of the MLlib Collaborative
> Filtering documentation refers to an ALS.trainImplicit function signature
> that does not exist. Rather than add an extra function, let's just fix the
> example.
> Currently, the example refers to a function that would have the following
> signature:
> def trainImplicit(ratings: RDD[Rating], rank: Int, iterations: Int, alpha:
> Double) : MatrixFactorizationModel
> Instead, let's change the example to refer to this function, which does exist
> (notice the addition of the lambda parameter):
> def trainImplicit(ratings: RDD[Rating], rank: Int, iterations: Int, lambda:
> Double, alpha: Double) : MatrixFactorizationModel
--
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
