Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/20058#discussion_r159021297
--- Diff: python/pyspark/ml/base.py ---
@@ -47,6 +86,28 @@ def _fit(self, dataset):
"""
raise NotImplementedError()
+ @since("2.3.0")
+ def fitMultiple(self, dataset, params):
--- End diff --
Check out the discussion on the JIRA and the linked design doc. Basically,
we need the same argument types but different return types from what the
current fit() method provides.
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