imatiach-msft commented on a change in pull request #25926: [SPARK-9612][ML]
Add instance weight support for GBTs
URL: https://github.com/apache/spark/pull/25926#discussion_r331838152
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File path:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala
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@@ -152,32 +155,27 @@ class GBTClassifier @Since("1.4.0") (
set(validationIndicatorCol, value)
}
+ /**
+ * Sets the value of param [[weightCol]].
+ * If this is not set or empty, we treat all instance weights as 1.0.
+ * Default is not set, so all instances have weight one.
+ *
+ * @group setParam
+ */
+ @Since("3.0.0")
+ def setWeightCol(value: String): this.type = set(weightCol, value)
+
override protected def train(
dataset: Dataset[_]): GBTClassificationModel = instrumented { instr =>
- val categoricalFeatures: Map[Int, Int] =
- MetadataUtils.getCategoricalFeatures(dataset.schema($(featuresCol)))
+ val categoricalFeatures =
MetadataUtils.getCategoricalFeatures(dataset.schema($(featuresCol)))
Review comment:
nit: can this line be moved above where it is used:
val boostingStrategy = super.getOldBoostingStrategy(categoricalFeatures,
OldAlgo.Classification)
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