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https://issues.apache.org/jira/browse/SPARK-18724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-18724:
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Labels: bulk-closed (was: )
> Add TuningSummary for TrainValidationSplit and CountVectorizer
> --------------------------------------------------------------
>
> Key: SPARK-18724
> URL: https://issues.apache.org/jira/browse/SPARK-18724
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: yuhao yang
> Priority: Minor
> Labels: bulk-closed
>
> Currently TrainValidationSplitModel only provides tuning metrics in the
> format of Array[Double], which makes it harder for tying the metrics back to
> the paramMap generating them and affects the usefulness for the tuning
> framework.
> Add a Tuning Summary to provide better presentation for the tuning metrics,
> for now the idea is to use a DataFrame listing all the params and
> corresponding metrics.
> The Tuning Summary Class can be further extended for CrossValidator.
> Refer to https://issues.apache.org/jira/browse/SPARK-18704 for more related
> discussion
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