Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4073#discussion_r23330643
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/tree/RandomForestSuite.scala ---
@@ -196,6 +196,24 @@ class RandomForestSuite extends FunSuite with
MLlibTestSparkContext {
featureSubsetStrategy = "sqrt", seed = 12345)
EnsembleTestHelper.validateClassifier(model, arr, 1.0)
}
+
+ test("subsampling rate in RandomForest"){
+ val arr = EnsembleTestHelper.generateOrderedLabeledPoints(5, 20)
+ val rdd = sc.parallelize(arr)
+ val strategy1 = new Strategy(algo = Classification, impurity = Gini,
maxDepth = 2,
--- End diff --
I would make 1 instance of strategy, train rf1, modify the strategy's
subsamplingRate, and train rf2. Simpler + more clearly using the same settings
for other parameters
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