[
https://issues.apache.org/jira/browse/SPARK-25309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bryan Cutler updated SPARK-25309:
---------------------------------
Component/s: ML
> Sci-kit Learn like Auto Pipeline Parallelization in Spark
> ----------------------------------------------------------
>
> Key: SPARK-25309
> URL: https://issues.apache.org/jira/browse/SPARK-25309
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 2.3.1
> Reporter: Ravi
> Priority: Critical
>
> SPARK-19357 and SPARK-21911 have helped parallelize Pipelines in Spark.
> However, instead of setting the parallelism Parameter in the CrossValidator
> it would be good to have something like njobs=-1 (like Scikit Learn) where
> the Pipeline DAG could be automatically parallelized and scheduled based on
> the resources allocated to the Spark Session instead of having the user pick
> the integer value for this parameter.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
