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] [Commented] (SPARK-19357) Parallel Model Evaluation for ML Tuning
Date Thu, 02 Feb 2017 00:05:51 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15849146#comment-15849146
] 

Apache Spark commented on SPARK-19357:
--------------------------------------

User 'BryanCutler' has created a pull request for this issue:
https://github.com/apache/spark/pull/16774

> Parallel Model Evaluation for ML Tuning
> ---------------------------------------
>
>                 Key: SPARK-19357
>                 URL: https://issues.apache.org/jira/browse/SPARK-19357
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Bryan Cutler
>
> This is a first step of the parent task of Optimizations for ML Pipeline Tuning to perform
model evaluation in parallel.  A simple approach is to naively evaluate with a possible parameter
to control the level of parallelism.  There are some concerns with this:
> * excessive caching of datasets
> * what to set as the default value for level of parallelism.  1 will evaluate all models
in serial, as is done currently. Higher values could lead to excessive caching.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

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


Mime
View raw message