Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4978#discussion_r26285523
--- Diff: docs/mllib-guide.md ---
@@ -107,6 +107,7 @@ In the `spark.mllib` package, there were several
breaking changes. The first ch
* In `DecisionTree`, the deprecated class method `train` has been
removed. (The object/static `train` methods remain.)
* In `Strategy`, the `checkpointDir` parameter has been removed.
Checkpointing is still supported, but the checkpoint directory must be set
before calling tree and tree ensemble training.
* `PythonMLlibAPI` (the interface between Scala/Java and Python for MLlib)
was a public API but is now private, declared `private[python]`. This was
never meant for external use.
+* In linear regression (including Lasso and ridge regression), we scaled
the squared loss by 0.5. So in order to produce the same result as in 1.2, the
step size you chose needs to be scaled by 2.
--- End diff --
done.
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