Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/11903#discussion_r57216499
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/GradientBoostedTrees.scala
---
@@ -61,18 +64,20 @@ private[ml] object GradientBoostedTrees extends Logging
{
* but it should follow the same distribution.
* E.g., these two datasets could be created from
an original dataset
* by using
[[org.apache.spark.rdd.RDD.randomSplit()]]
+ * @param seed Random seed.
* @return tuple of ensemble models and weights:
* (array of decision tree models, array of model weights)
*/
def runWithValidation(
input: RDD[LabeledPoint],
validationInput: RDD[LabeledPoint],
- boostingStrategy: OldBoostingStrategy
+ boostingStrategy: OldBoostingStrategy,
+ seed: Long
): (Array[DecisionTreeRegressionModel], Array[Double]) = {
--- End diff --
Scala style: combine this with previous line
```
seed: Long): (Array[...
```
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