[ https://issues.apache.org/jira/browse/SPARK-36481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-36481: ------------------------------------ Assignee: Sean R. Owen (was: Apache Spark) > Expose LogisticRegression.setInitialModel > ----------------------------------------- > > Key: SPARK-36481 > URL: https://issues.apache.org/jira/browse/SPARK-36481 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 3.2.0 > Reporter: Sean R. Owen > Assignee: Sean R. Owen > Priority: Minor > > Several Spark ML components already allow setting of an initial model, > including KMeans, LogisticRegression, and GaussianMixture. This is useful to > begin training from a known reasonably good model. > However, the method in LogisticRegression is private to Spark. I don't see a > good reason why it should be as the others in KMeans et al are not. > None of these are exposed in Pyspark, which I don't necessarily want to > question or deal with now; there are other places one could arguably set an > initial model too, but, here just interested in exposing the existing, tested > functionality to callers. -- 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