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https://issues.apache.org/jira/browse/SPARK-4231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14219799#comment-14219799
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Debasish Das commented on SPARK-4231:
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[~srowen] I added batch predict APIs for user and product recommendation in the
PR (both batch and mini-batch APIs that takes a per user topK products)
For the MAP calculation code I still have kept it in examples.MovieLensALS in
this PR but I feel it should be part of MatrixFactorizationModel as well where
client can send a RDD of userID and list of products they don't want to be
recommended in the topK...I will add this API in MatrixFactorizationModel if it
makes sense...
> Add RankingMetrics to examples.MovieLensALS
> -------------------------------------------
>
> Key: SPARK-4231
> URL: https://issues.apache.org/jira/browse/SPARK-4231
> Project: Spark
> Issue Type: Improvement
> Components: Examples
> Affects Versions: 1.2.0
> Reporter: Debasish Das
> Fix For: 1.2.0
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> examples.MovieLensALS computes RMSE for movielens dataset but after addition
> of RankingMetrics and enhancements to ALS, it is critical to look at not only
> the RMSE but also measures like prec@k and MAP.
> In this JIRA we added RMSE and MAP computation for examples.MovieLensALS and
> also added a flag that takes an input whether user/product recommendation is
> being validated.
>
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