Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/2378#discussion_r17574399
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -472,214 +452,140 @@ class PythonMLLibAPI extends Serializable {
numRows: Long,
numCols: Int,
numPartitions: java.lang.Integer,
- seed: java.lang.Long): JavaRDD[Array[Byte]] = {
+ seed: java.lang.Long): JavaRDD[Vector] = {
val parts = getNumPartitionsOrDefault(numPartitions, jsc)
val s = getSeedOrDefault(seed)
- RG.poissonVectorRDD(jsc.sc, mean, numRows, numCols, parts,
s).map(SerDe.serializeDoubleVector)
+ RG.poissonVectorRDD(jsc.sc, mean, numRows, numCols, parts, s)
}
}
/**
- * :: DeveloperApi ::
- * MultivariateStatisticalSummary with Vector fields serialized.
+ * SerDe utility functions for PythonMLLibAPI.
*/
-@DeveloperApi
-class MultivariateStatisticalSummarySerialized(val summary:
MultivariateStatisticalSummary)
- extends Serializable {
+private[spark] object SerDe extends Serializable {
- def mean: Array[Byte] = SerDe.serializeDoubleVector(summary.mean)
+ private[python] def reduce_object(out: OutputStream, pickler: Pickler,
+ module: String, name: String, objects:
Object*) = {
+ out.write(Opcodes.GLOBAL)
+ out.write((module + "\n" + name + "\n").getBytes)
--- End diff --
Does it increase the storage cost by a lot for small objects?
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