You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/05/15 02:53:59 UTC
[jira] [Created] (SPARK-7653) ML Pipeline and meta-algs should take
random seed param
Joseph K. Bradley created SPARK-7653:
----------------------------------------
Summary: ML Pipeline and meta-algs should take random seed param
Key: SPARK-7653
URL: https://issues.apache.org/jira/browse/SPARK-7653
Project: Spark
Issue Type: Improvement
Components: ML
Reporter: Joseph K. Bradley
Priority: Minor
ML Pipelines and other meta-algorithms should implement HasSeed. If the seed is set, then the meta-alg will use that seed to generate new seeds to pass to every component PipelineStage.
This will make it easier for users to have reproducible results for entire pipelines (rather than setting the seed for each stage manually).
--
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