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[SPARK-6278][MLLIB] Mention the change of objective in linear regression #4978

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[SPARK-6278][MLLIB] Mention the change of objective in linear regression #4978

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f87ae71
mention step size change
mengxr Mar 11, 2015
375fd09
address Sean's comments
mengxr Mar 12, 2015
bfd6cff
Merge remote-tracking branch 'apache/master' into SPARK-6278
mengxr Mar 12, 2015
fb3bbe6
mention regularization parameter
mengxr Mar 12, 2015
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2 changes: 2 additions & 0 deletions docs/mllib-guide.md
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Expand Up @@ -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

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