[
https://issues.apache.org/jira/browse/SPARK-18724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-18724:
---------------------------------
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
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
