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https://issues.apache.org/jira/browse/SPARK-7883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-7883:
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Target Version/s: 1.0.3, 1.1.2, 1.2.3, 1.3.2, 1.4.0
Affects Version/s: 1.0.2
1.1.1
1.2.2
> 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
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