Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/9008#discussion_r53092853
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
---
@@ -101,6 +104,43 @@ class RandomForestRegressorSuite extends SparkFunSuite
with MLlibTestSparkContex
assert(mostImportantFeature === 1)
}
+ test("training with weighted data") {
+ val (dataset, testDataset) = {
+ val keyFeature = Vectors.dense(0, 1.0, 2, 1.2)
+ val data0 = Array.fill(10)(Instance(10, 0.1, keyFeature))
+ val data1 = Array.fill(10)(Instance(20, 20.0, keyFeature))
+
+ val testData = Seq(Instance(0, 1, keyFeature))
+ (sqlContext.createDataFrame(sc.parallelize(data0 ++ data1, 2)),
+ sqlContext.createDataFrame(sc.parallelize(testData, 2)))
+ }
+
+ val featureIndexer = new VectorIndexer()
+ .setInputCol("features")
+ .setOutputCol("indexedFeatures")
+ .setMaxCategories(4)
+ .fit(dataset)
+
+ val rf = new RandomForestRegressor()
+ .setFeaturesCol("indexedFeatures")
+ .setPredictionCol("predictedLabel")
+ .setSeed(1)
+
+ val pipeline = new Pipeline()
+ .setStages(Array(featureIndexer, rf))
+
+ val model1 = pipeline.fit(dataset)
+ val model2 = pipeline.fit(dataset, rf.weightCol->"weight")
--- End diff --
ditto
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