Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8457#discussion_r38381876
--- Diff: python/pyspark/mllib/classification.py ---
@@ -600,12 +604,15 @@ class
StreamingLogisticRegressionWithSGD(StreamingLinearAlgorithm):
:param miniBatchFraction: Fraction of data on which SGD is run for each
iteration.
:param regParam: L2 Regularization parameter.
+ :param convergenceTol: A condition which decides iteration termination.
--- End diff --
Yes, I think I can do these in the follow-up PR because I found that there
are much room to improve for ```StreamingLogisticRegressionWithSGD``` of
PySpark.
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