Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1628#discussion_r15506022
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -453,4 +454,74 @@ class PythonMLLibAPI extends Serializable {
val ratings = ratingsBytesJRDD.rdd.map(unpackRating)
ALS.trainImplicit(ratings, rank, iterations, lambda, blocks, alpha)
}
+
+ /**
+ * Java stub for Python mllib RandomRDDGenerators.uniformRDD()
+ */
+ def uniformRDD(jsc: JavaSparkContext,
+ size: Long,
+ numPartitions: Int,
+ seed: Long): JavaRDD[Array[Byte]] = {
+ RandomRDDGenerators.uniformRDD(jsc.sc, size, numPartitions, seed)
+ .map(serializeDouble).toJavaRDD()
+ }
+
+ /**
+ * Java stub for Python mllib RandomRDDGenerators.normalRDD()
+ */
+ def normalRDD(jsc: JavaSparkContext,
+ size: Long,
+ numPartitions: Int,
+ seed: Long): JavaRDD[Array[Byte]] = {
+ RandomRDDGenerators.normalRDD(jsc.sc, size, numPartitions, seed)
+ .map(serializeDouble).toJavaRDD()
+ }
+
+ /**
+ * Java stub for Python mllib RandomRDDGenerators.poissonRDD()
+ */
+ def poissonRDD(jsc: JavaSparkContext,
+ mean: Double,
+ size: Long,
+ numPartitions: Int,
+ seed: Long): JavaRDD[Array[Byte]] = {
+ RandomRDDGenerators.poissonRDD(jsc.sc, mean, size, numPartitions, seed)
+ .map(serializeDouble).toJavaRDD()
+ }
+
+ /**
+ * Java stub for Python mllib RandomRDDGenerators.uniformVectorRDD()
+ */
+ def uniformVectorRDD(jsc: JavaSparkContext,
+ numRows: Long,
+ numCols: Int,
+ numPartitions: Int,
+ seed: Long): JavaRDD[Array[Byte]] = {
+ RandomRDDGenerators.uniformVectorRDD(jsc.sc, numRows, numCols,
numPartitions, seed)
+ .map(serializeDoubleVector).toJavaRDD()
+ }
+
+ /**
+ * Java stub for Python mllib RandomRDDGenerators.normalVectorRDD()
+ */
+ def normalVectorRDD(jsc: JavaSparkContext,
+ numRows: Long,
+ numCols: Int,
+ numPartitions: Int,
+ seed: Long): JavaRDD[Array[Byte]] = {
+ RandomRDDGenerators.normalVectorRDD(jsc.sc, numRows, numCols,
numPartitions, seed)
+ .map(serializeDoubleVector).toJavaRDD()
+ }
+
+ /**
+ * Java stub for Python mllib RandomRDDGenerators.poissonVectorRDD()
+ */
+ def poissonVectorRDD(jsc: JavaSparkContext,mean: Double,
--- End diff --
move `mean: Double` to next line
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