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Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2017/04/07 09:03:41 UTC
[jira] [Commented] (SPARK-12210) Small example that shows how to
integrate spark.mllib with spark.ml
[ https://issues.apache.org/jira/browse/SPARK-12210?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15960523#comment-15960523 ]
Nick Pentreath commented on SPARK-12210:
----------------------------------------
Is this required any more? I guess we are close enough to feature parity now where I'd say we can close this one.
> Small example that shows how to integrate spark.mllib with spark.ml
> -------------------------------------------------------------------
>
> Key: SPARK-12210
> URL: https://issues.apache.org/jira/browse/SPARK-12210
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, MLlib
> Affects Versions: 1.5.2
> Reporter: Timothy Hunter
>
> Since we are missing a number of algorithms in {{spark.ml}} such as clustering or LDA, we should have a small example that shows the recommended way to go back and forth between {{spark.ml}} and {{spark.mllib}}. It is mostly putting together existing pieces, but I feel it is important for new users to see how the interaction plays out in practice.
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