Sean R. Owen created SPARK-36481: ------------------------------------ Summary: 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
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