Github user MrBago commented on a diff in the pull request:
https://github.com/apache/spark/pull/20058#discussion_r159024163
--- 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 --
We couldn't use `fit` because it's going to have the same signature as the
existing `fit` method but return a different type, (Iterator[(Int, Model)]
instead of Seq[Model]). I was trying to be consistent with Estimator.fit which
uses the name `params` which is different than the name of the same argument in
Scala :/. Happy to change it.
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