[ https://issues.apache.org/jira/browse/SPARK-5114?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-5114: --------------------------------- Target Version/s: 1.4.0 (was: 1.3.0) > Should Evaluator be a PipelineStage > ----------------------------------- > > Key: SPARK-5114 > URL: https://issues.apache.org/jira/browse/SPARK-5114 > Project: Spark > Issue Type: Question > Components: ML > Affects Versions: 1.2.0 > Reporter: Joseph K. Bradley > > Pipelines can currently contain Estimators and Transformers. > Question for debate: Should Pipelines be able to contain Evaluators? > Pros: > * Evaluators take input datasets with particular schema, which should perhaps > be checked before running a Pipeline. > Cons: > * Evaluators do not transform datasets. They produce a scalar (or a few > values), which makes it hard to say how they fit into a Pipeline or a > PipelineModel. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org