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@@ -102,6 +102,8 @@ 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), the squared loss is now divided by 2.
+ So in order to produce the same result as in 1.2, the regularization parameter needs to be divided by 2 and the step size needs to be multiplied by 2.
## Previous Spark Versions