spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-12810) PySpark CrossValidatorModel should support avgMetrics
Date Mon, 18 Apr 2016 05:14:25 GMT

     [ https://issues.apache.org/jira/browse/SPARK-12810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-12810:
------------------------------------

    Assignee:     (was: Apache Spark)

> PySpark CrossValidatorModel should support avgMetrics
> -----------------------------------------------------
>
>                 Key: SPARK-12810
>                 URL: https://issues.apache.org/jira/browse/SPARK-12810
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>            Reporter: Feynman Liang
>              Labels: starter
>
> The {CrossValidator} in Scala supports {avgMetrics} since 1.5.0, which allows the user
to evaluate how well each {ParamMap} in the grid search performed and identify the best parameters.
We should support this in PySpark as well.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message