Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8866#discussion_r48591863
--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala ---
@@ -252,6 +253,35 @@ private[ml] object TreeRegressorParams {
final val supportedImpurities: Array[String] =
Array("variance").map(_.toLowerCase)
}
+private[ml] trait DecisionTreeRegressorParams extends DecisionTreeParams
+ with TreeRegressorParams with HasVarianceCol {
+
+ /** @group setParam */
+ def setVarianceCol(value: String): this.type = set(varianceCol, value)
+
+ /**
+ * Validates and transforms the input schema with the provided param map.
+ * @param schema input schema
+ * @param fitting whether this is in fitting
+ * @param featuresDataType SQL DataType for FeaturesType.
+ * E.g.,
[[org.apache.spark.mllib.linalg.VectorUDT]] for vector features.
+ * @return output schema
+ */
+ override protected def validateAndTransformSchema(
+ schema: StructType,
+ fitting: Boolean,
+ featuresDataType: DataType): StructType = {
+ SchemaUtils.checkColumnType(schema, $(featuresCol), featuresDataType)
--- End diff --
Here we should handle ```varianceCol```, so it's different from the
parent's version.
---
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]