Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/15413#discussion_r94085951
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/GaussianMixtureSuite.scala
---
@@ -126,6 +141,106 @@ class GaussianMixtureSuite extends SparkFunSuite with
MLlibTestSparkContext
testEstimatorAndModelReadWrite(gm, dataset,
GaussianMixtureSuite.allParamSettings, checkModelData)
}
+
+ test("univariate dense data with two clusters") {
+ val weights = Array(2.0 / 3.0, 1.0 / 3.0)
+ val mean = Array(Vectors.dense(5.1604), Vectors.dense(-4.3673))
+ val cov = Array(Matrices.dense(1, 1, Array(0.86644)),
Matrices.dense(1, 1, Array(1.1098)))
+
+ val gmm = new GaussianMixture().setK(2).fit(denseDataset)
+
+ assert(gmm.weights(0) ~== weights(0) absTol 1E-3)
+ assert(gmm.weights(1) ~== weights(1) absTol 1E-3)
+ assert(gmm.gaussians(0).mean ~== mean(0) absTol 1E-3)
+ assert(gmm.gaussians(1).mean ~== mean(1) absTol 1E-3)
+ assert(gmm.gaussians(0).cov ~== cov(0) absTol 1E-3)
+ assert(gmm.gaussians(1).cov ~== cov(1) absTol 1E-3)
+ }
+
+ test("univariate sparse data with two clusters") {
+ val weights = Array(2.0 / 3.0, 1.0 / 3.0)
+ val mean = Array(Vectors.dense(5.1604), Vectors.dense(-4.3673))
+ val cov = Array(Matrices.dense(1, 1, Array(0.86644)),
Matrices.dense(1, 1, Array(1.1098)))
+
+ val gmm = new GaussianMixture().setK(2).fit(sparseDataset)
--- End diff --
Set the seed in this and other tests
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