[
https://issues.apache.org/jira/browse/SPARK-4231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14200373#comment-14200373
]
Debasish Das commented on SPARK-4231:
-------------------------------------
[~coderxiang] [~mengxr] [~srowen]
I looked at Sean's implementation for MAP metric for recommendation engines and
it computes a rank of predicted test set over all user/product predictions...I
don't see how can I send the rank vector to the RankingMetrics API right now....
http://cloudera.github.io/oryx/xref/com/cloudera/oryx/als/computation/local/ComputeMAP.html
Right now for each user/product I send predictions and labels from test set to
RankingMetrics API but there is no rank order defined...I retrieved the
predictions using ALS.predict(userId, productId) API...
> 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.
>
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
