Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/11119#discussion_r82752375 --- Diff: mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala --- @@ -137,18 +143,64 @@ class KMeansSuite extends SparkFunSuite with MLlibTestSparkContext with DefaultR assert(model.clusterCenters === model2.clusterCenters) } val kmeans = new KMeans() - testEstimatorAndModelReadWrite(kmeans, dataset, KMeansSuite.allParamSettings, checkModelData) + testEstimatorAndModelReadWrite(kmeans, dataset, KMeansSuite.allParamSettings, checkModelData, + Map("initialModel" -> (checkModelData _).asInstanceOf[(Any, Any) => Unit])) + } + + test("Initialize using a trained model") { + val kmeans = new KMeans().setK(k).setSeed(1).setMaxIter(1) + val oneIterModel = kmeans.fit(dataset) + val twoIterModel = kmeans.copy(ParamMap(ParamPair(kmeans.maxIter, 2))).fit(dataset) + val oneMoreIterModel = kmeans.setInitialModel(oneIterModel).fit(dataset) + + twoIterModel.clusterCenters.zip(oneMoreIterModel.clusterCenters) + .foreach { case (center1, center2) => assert(center1 ~== center2 absTol 1E-8) } + } + + test("Initialize using a model with wrong dimension of cluster centers") { + val kmeans = new KMeans().setK(k).setSeed(1).setMaxIter(1) + + val wrongDimModel = KMeansSuite.generateRandomKMeansModel(4, k) + val wrongDimModelThrown = intercept[IllegalArgumentException] { + kmeans.setInitialModel(wrongDimModel).fit(dataset) + } + assert(wrongDimModelThrown.getMessage.contains("mismatched dimension")) + } + + test("Infer K from an initial model if K is unset") { + val kmeans = new KMeans() + val testNewK = 10 + val randomModel = KMeansSuite.generateRandomKMeansModel(dim, testNewK) + assert(kmeans.setInitialModel(randomModel).getK === testNewK) + } + + test("Initialize using a model with wrong K if K is set") { + val kmeans = new KMeans().setK(k).setSeed(1).setMaxIter(1) + + val wrongKModel = KMeansSuite.generateRandomKMeansModel(3, k + 1) --- End diff -- `3` can be `dim` here.
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org