Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3439#discussion_r20853259
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/loss/SquaredError.scala ---
@@ -49,18 +48,17 @@ object SquaredError extends Loss {
}
/**
- * Method to calculate error of the base learner for the gradient
boosting calculation.
+ * Method to calculate loss of the base learner for the gradient
boosting calculation.
* Note: This method is not used by the gradient boosting algorithm but
is useful for debugging
* purposes.
- * @param model Model of the weak learner.
+ * @param model Ensemble model
* @param data Training dataset: RDD of
[[org.apache.spark.mllib.regression.LabeledPoint]].
- * @return
+ * @return Mean squared error of model on data
--- End diff --
`MSE` is not usually defined with multiplier `1/2`. Shall we use a
different name here, or example, `mean squared loss` or `average loss`?
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