[ https://issues.apache.org/jira/browse/SPARK-10413?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-10413. ---------------------------------- Resolution: Incomplete > ML models should support prediction on single instances > ------------------------------------------------------- > > Key: SPARK-10413 > URL: https://issues.apache.org/jira/browse/SPARK-10413 > Project: Spark > Issue Type: Umbrella > Components: ML > Reporter: Xiangrui Meng > Priority: Critical > Labels: bulk-closed > > Currently models in the pipeline API only implement transform(DataFrame). It > would be quite useful to support prediction on single instance. > UPDATE: This issue is for making predictions with single models. We can make > methods like {{def predict(features: Vector): Double}} public. > * This issue is *not* for single-instance prediction for full Pipelines, > which would require making predictions on {{Row}}s. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org