diff --git a/mllib/src/main/scala/org/apache/spark/mllib/api/python/GaussianMixtureModelWrapper.scala b/mllib/src/main/scala/org/apache/spark/mllib/api/python/GaussianMixtureModelWrapper.scala index 0ec88ef77d69579bbb99bd26774b28f53349af35..6a3b20c88d2d21239a710d3602f07695e4b48ac0 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/api/python/GaussianMixtureModelWrapper.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/api/python/GaussianMixtureModelWrapper.scala @@ -17,14 +17,11 @@ package org.apache.spark.mllib.api.python -import java.util.{List => JList} - -import scala.collection.JavaConverters._ -import scala.collection.mutable.ArrayBuffer +import scala.collection.JavaConverters import org.apache.spark.SparkContext -import org.apache.spark.mllib.linalg.{Vector, Vectors, Matrix} import org.apache.spark.mllib.clustering.GaussianMixtureModel +import org.apache.spark.mllib.linalg.{Vector, Vectors} /** * Wrapper around GaussianMixtureModel to provide helper methods in Python @@ -36,17 +33,11 @@ private[python] class GaussianMixtureModelWrapper(model: GaussianMixtureModel) { /** * Returns gaussians as a List of Vectors and Matrices corresponding each MultivariateGaussian */ - val gaussians: JList[Object] = { - val modelGaussians = model.gaussians - var i = 0 - var mu = ArrayBuffer.empty[Vector] - var sigma = ArrayBuffer.empty[Matrix] - while (i < k) { - mu += modelGaussians(i).mu - sigma += modelGaussians(i).sigma - i += 1 + val gaussians: Array[Byte] = { + val modelGaussians = model.gaussians.map { gaussian => + Array[Any](gaussian.mu, gaussian.sigma) } - List(mu.toArray, sigma.toArray).map(_.asInstanceOf[Object]).asJava + SerDe.dumps(JavaConverters.seqAsJavaListConverter(modelGaussians).asJava) } def save(sc: SparkContext, path: String): Unit = model.save(sc, path) diff --git a/python/pyspark/mllib/clustering.py b/python/pyspark/mllib/clustering.py index 1fa061dc2da99a80226caf3d0603ce5e7e9cf171..c9e6f1dec6bf85f40d77f54aa6d028984deea102 100644 --- a/python/pyspark/mllib/clustering.py +++ b/python/pyspark/mllib/clustering.py @@ -266,7 +266,7 @@ class GaussianMixtureModel(JavaModelWrapper, JavaSaveable, JavaLoader): """ return [ MultivariateGaussian(gaussian[0], gaussian[1]) - for gaussian in zip(*self.call("gaussians"))] + for gaussian in self.call("gaussians")] @property @since('1.4.0')