srowen opened a new pull request #33710: URL: https://github.com/apache/spark/pull/33710
### Why are the changes needed? 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. ### Does this PR introduce _any_ user-facing change? Other than the new API method, no. ### How was this patch tested? Existing tests -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
