Sean R. Owen created SPARK-36481:
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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.
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