Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8866#discussion_r41984757
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/DecisionTreeRegressor.scala
---
@@ -39,7 +40,7 @@ import org.apache.spark.sql.DataFrame
@Experimental
final class DecisionTreeRegressor(override val uid: String)
extends Predictor[Vector, DecisionTreeRegressor,
DecisionTreeRegressionModel]
- with DecisionTreeParams with TreeRegressorParams {
+ with TreeRegressorParams {
--- End diff --
I think itâs necessary to make this change because of
```validateAndTransformSchema``` should be reimplemented for each *Regressor
and *RegressionModel if we want to output variance of prediction. So the best
way is to implement ```validateAndTransformSchema``` in
```TreeRegressorParams```, then all *Regressor and *RegressionModel extends it
can provide variance of prediction.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
