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[SPARK-57957][ML][TESTS] Deflake GaussianMixtureSuite 'GMM support instance weighting' on macOS using well-posed data #57035

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[SPARK-57957][ML][TESTS] Deflake GaussianMixtureSuite 'GMM support instance weighting' on macOS using well-posed data #57035

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8 changes: 4 additions & 4 deletions mllib/src/test/scala/org/apache/spark/ml/clustering/GaussianMixtureSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -270,12 +270,12 @@ class GaussianMixtureSuite extends MLTest with DefaultReadWriteTest {
}

test("GMM support instance weighting") {
val gm1 = new GaussianMixture().setK(k).setMaxIter(20).setSeed(seed)
val gm2 = new GaussianMixture().setK(k).setMaxIter(20).setSeed(seed).setWeightCol("weight")
val gm1 = new GaussianMixture().setK(2).setMaxIter(20).setSeed(seed)
val gm2 = new GaussianMixture().setK(2).setMaxIter(20).setSeed(seed).setWeightCol("weight")

Seq(1.0, 10.0, 90.0).foreach { w =>
val gmm1 = gm1.fit(dataset)
val ds2 = dataset.select(col("features"), lit(w).as("weight"))
val gmm1 = gm1.fit(rDataset)
val ds2 = rDataset.select(col("features"), lit(w).as("weight"))
val gmm2 = gm2.fit(ds2)
modelEquals(gmm1, gmm2)
}
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