Github user freeman-lab commented on a diff in the pull request:
https://github.com/apache/spark/pull/6744#discussion_r33203819
--- Diff: python/pyspark/mllib/regression.py ---
@@ -570,6 +571,92 @@ def train(cls, data, isotonic=True):
return IsotonicRegressionModel(boundaries.toArray(),
predictions.toArray(), isotonic)
+@inherit_doc
+class StreamingLinearRegressionWithSGD(LinearRegressionModel):
+ """
+ Run LinearRegression with SGD on a stream of data.
+
+ The problem minimized is (1 / n_samples) * (y - weights'X)**2.
+ After training on a stream of data, the weights obtained at the end of
+ training are used as initial weights for the next stream of data.
--- End diff --
`stream` -> `batch`
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