Hi Sourabh, I came across same problem as you. One workable solution for me was to serialize the parts of model that can be used again to recreate it. I serialize RDD's in my model using saveAsObjectFile with a time stamp attached to it in HDFS. My other spark application read from the latest stored dir from HDFS using sc.ObjectFile and recreate the recently trained model for prediction.
I think this is not the best solution but it worked for me. I am also looking for other efficient approaches for such problem where exporting of model to some other application is required. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLLIB-model-export-PMML-vs-MLLIB-serialization-tp20324p20348.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
