imatiach-msft commented on a change in pull request #17084:
[SPARK-24103][ML][MLLIB] ML Evaluators should use weight column - added weight
column for binary classification evaluator
URL: https://github.com/apache/spark/pull/17084#discussion_r259667183
##########
File path:
mllib/src/test/scala/org/apache/spark/ml/evaluation/BinaryClassificationEvaluatorSuite.scala
##########
@@ -71,6 +71,33 @@ class BinaryClassificationEvaluatorSuite
assert(thrown.getMessage.replace("\n", "") contains "but was actually of
type string.")
}
+ test("should accept weight column") {
+ val weightCol = "weight"
+ // get metric with weight column
+ val evaluator = new BinaryClassificationEvaluator()
+ .setMetricName("areaUnderROC").setWeightCol(weightCol)
+ val vectorDF = Seq(
+ (0d, Vectors.dense(2.5, 12), 1.0),
Review comment:
done, also updated the test above which was also using 0d
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