Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17373#discussion_r131992917
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala
---
@@ -83,6 +83,36 @@ class MultilayerPerceptronClassifierSuite
}
}
+ test("strong dataset test") {
+ val layers = Array[Int](4, 5, 5, 4)
+
+ val rnd = new scala.util.Random(1234L)
+
+ val strongDataset = Seq.tabulate(4) { index =>
+ (Vectors.dense(
+ rnd.nextGaussian(),
+ rnd.nextGaussian() * 2.0,
+ rnd.nextGaussian() * 3.0,
+ rnd.nextGaussian() * 2.0
+ ), (index % 4).toDouble)
+ }.toDF("features", "label")
+ val trainer = new MultilayerPerceptronClassifier()
+ .setLayers(layers)
+ .setBlockSize(1)
+ .setSeed(123L)
+ .setMaxIter(100)
+ .setSolver("l-bfgs")
+ val model = trainer.fit(strongDataset)
+ val result = model.transform(strongDataset)
+ model.setProbabilityCol("probability")
+ MLTestingUtils.checkCopyAndUids(trainer, model)
+ // result.select("probability").show(false)
+ val predictionAndLabels = result.select("prediction",
"label").collect()
+ predictionAndLabels.foreach { case Row(p: Double, l: Double) =>
+ assert(p == l)
+ }
+ }
--- End diff --
@MrBago
How do you like this test ?
The probability it generate is
+--------------------------------------------------------------------------------------+
|probability
|
+--------------------------------------------------------------------------------------+
|[0.9917274999513315,0.001511626318489583,0.004831796668307991,0.0019290770618710876]
|
|[4.2392735713619E-12,0.9999999999955336,1.8369996605279208E-14,2.0871629225077174E-13]|
|[1.8975708749716946E-4,5.191732707447977E-22,0.5010860788259045,0.49872416408659836]
|
|[1.6776134471360903E-4,3.9309610969078615E-22,0.49629577580941386,0.5035364628458726]
|
+--------------------------------------------------------------------------------------+
it contains some values near 0.5
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