Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7838#discussion_r36054846
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala
---
@@ -98,7 +95,8 @@ final class RandomForestClassifier(override val uid:
String)
val trees =
RandomForest.run(oldDataset, strategy, getNumTrees,
getFeatureSubsetStrategy, getSeed)
.map(_.asInstanceOf[DecisionTreeClassificationModel])
- new RandomForestClassificationModel(trees, numClasses)
+ val numFeatures = oldDataset.first().features.size
--- End diff --
I think further we need to get numFeatures (and other parameters) from the
DataFrame column Attribute and make some validity check, but it's OK for now.
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