[SPARK-13334][ML] ML KMeansModel / BisectingKMeansModel / QuantileDiscretizer should set parent

ML ```KMeansModel / BisectingKMeansModel / QuantileDiscretizer``` should set parent.

cc mengxr

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #11214 from yanboliang/spark-13334.

3 files changed, 5 insertions, 1 deletions

diff --git a/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala
index b26571eb9f..fc4a4add5d 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala
@@ -81,5 +81,6 @@ class BisectingKMeansSuite extends SparkFunSuite with MLlibTestSparkContext {
     assert(clusters.size === k)
     assert(clusters === Set(0, 1, 2, 3, 4))
     assert(model.computeCost(dataset) < 0.1)
+    assert(model.hasParent)
   }
 }
diff --git a/mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala
index 2724e51f31..e5357ba8e2 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala
@@ -97,6 +97,7 @@ class KMeansSuite extends SparkFunSuite with MLlibTestSparkContext with DefaultR
     assert(clusters.size === k)
     assert(clusters === Set(0, 1, 2, 3, 4))
     assert(model.computeCost(dataset) < 0.1)
+    assert(model.hasParent)
   }
 
   test("read/write") {
diff --git a/mllib/src/test/scala/org/apache/spark/ml/feature/QuantileDiscretizerSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/feature/QuantileDiscretizerSuite.scala
index 4fde42972f..6a2c601bbe 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/feature/QuantileDiscretizerSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/feature/QuantileDiscretizerSuite.scala
@@ -94,7 +94,9 @@ private object QuantileDiscretizerSuite extends SparkFunSuite {
     val df = sc.parallelize(data.map(Tuple1.apply)).toDF("input")
     val discretizer = new QuantileDiscretizer().setInputCol("input").setOutputCol("result")
       .setNumBuckets(numBucket).setSeed(1)
-    val result = discretizer.fit(df).transform(df)
+    val model = discretizer.fit(df)
+    assert(model.hasParent)
+    val result = model.transform(df)
 
     val transformedFeatures = result.select("result").collect()
       .map { case Row(transformedFeature: Double) => transformedFeature }