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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2017/10/19 23:38:01 UTC
[jira] [Commented] (SPARK-19357) Parallel Model Evaluation for ML
Tuning: Scala
[ https://issues.apache.org/jira/browse/SPARK-19357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16211923#comment-16211923 ]
Joseph K. Bradley commented on SPARK-19357:
-------------------------------------------
Linking [SPARK-22126], which tracks improving the API to permit model-specific optimizations.
> Parallel Model Evaluation for ML Tuning: Scala
> ----------------------------------------------
>
> Key: SPARK-19357
> URL: https://issues.apache.org/jira/browse/SPARK-19357
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Bryan Cutler
> Assignee: Bryan Cutler
> Fix For: 2.3.0
>
> Attachments: parallelism-verification-test.pdf
>
>
> 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.
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