Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15435#discussion_r106725472
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -813,9 +835,16 @@ class LogisticRegressionModel private[spark] (
@Since("2.0.0")
def evaluate(dataset: Dataset[_]): LogisticRegressionSummary = {
// Handle possible missing or invalid prediction columns
- val (summaryModel, probabilityColName) =
findSummaryModelAndProbabilityCol()
- new BinaryLogisticRegressionSummary(summaryModel.transform(dataset),
- probabilityColName, $(labelCol), $(featuresCol))
+ val (summaryModel, probabilityColName, predictionColName)
+ = findSummaryModel()
+ if (isMultinomial) {
--- End diff --
same as above comment, check number of classes, not family
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