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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-7132) Add fit with validation set to spark.ml GBT
Date Wed, 09 Sep 2015 01:02:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-7132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14735926#comment-14735926
] 

Joseph K. Bradley commented on SPARK-7132:
------------------------------------------

How would the split be chosen?  It will be important for the user to be able to specify the
split; for that, an extra Boolean column seems like a reasonable choice.

> Add fit with validation set to spark.ml GBT
> -------------------------------------------
>
>                 Key: SPARK-7132
>                 URL: https://issues.apache.org/jira/browse/SPARK-7132
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>
> In spark.mllib GradientBoostedTrees, we have a method runWithValidation which takes a
validation set.  We should add that to the spark.ml API.
> This will require a bit of thinking about how the Pipelines API should handle a validation
set (since Transformers and Estimators only take 1 input DataFrame).  The current plan is
to include an extra column in the input DataFrame which indicates whether the row is for training,
validation, etc.



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