[ https://issues.apache.org/jira/browse/SPARK-29118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-29118. ------------------------------- Fix Version/s: 3.0.0 Resolution: Fixed Issue resolved by pull request 25815 [https://github.com/apache/spark/pull/25815] > Avoid redundant computation in GMM.transform && GLR.transform > ------------------------------------------------------------- > > Key: SPARK-29118 > URL: https://issues.apache.org/jira/browse/SPARK-29118 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 3.0.0 > Reporter: zhengruifeng > Assignee: zhengruifeng > Priority: Minor > Fix For: 3.0.0 > > > In SPARK-27944, the computation for output columns with empty name is skipped. > Now, I find that we can furthermore optimize > 1, GMM.transform by directly obtaining the prediction(double) from its > probabilty prediction(vector), like what ProbabilisticClassificationModel and > ClassificationModel do. > 2, GLR.transform by obtaining the prediction(double) from its link > prediction(double) -- 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