Hi Pan,

There is a pull request that is supposed to fix the issue:
https://github.com/apache/spark/pull/9854

There is a workaround for saving/loading a model (however I am not sure if it 
will work for the pipeline):
sc.parallelize(Seq(model), 1).saveAsObjectFile("path")
val sameModel = sc.objectFile[YourCLASS]("path").first()


Best regards, Alexander

From: HanPan [mailto:pa...@thinkingdata.cn]
Sent: Sunday, March 20, 2016 8:32 PM
To: dev@spark.apache.org
Cc: pa...@thinkingdata.cn
Subject: MLPC model can not be saved


Hi Guys,

         I built a ML pipeline that includes multilayer perceptron classifier, 
I got the following error message when I tried to save the pipeline model. It 
seems like MLPC model can not be saved which means I have no ways to save the 
trained model. Is there any way to save the model that I can use it for future 
prediction.

         Exception in thread "main" java.lang.UnsupportedOperationException: 
Pipeline write will fail on this Pipeline because it contains a stage which 
does not implement Writable. Non-Writable stage: mlpc_2d8b74f6da60 of type 
class org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel
         at 
org.apache.spark.ml.Pipeline$SharedReadWrite$$anonfun$validateStages$1.apply(Pipeline.scala:218)
         at 
org.apache.spark.ml.Pipeline$SharedReadWrite$$anonfun$validateStages$1.apply(Pipeline.scala:215)
         at 
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
         at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
         at 
org.apache.spark.ml.Pipeline$SharedReadWrite$.validateStages(Pipeline.scala:215)
         at 
org.apache.spark.ml.PipelineModel$PipelineModelWriter.<init>(Pipeline.scala:325)
         at org.apache.spark.ml.PipelineModel.write(Pipeline.scala:309)
         at org.apache.spark.ml.util.MLWritable$class.save(ReadWrite.scala:130)
         at org.apache.spark.ml.PipelineModel.save(Pipeline.scala:280)
         at 
cn.thinkingdata.nlp.spamclassifier.FFNNSpamClassifierPipeLine.main(FFNNSpamClassifierPipeLine.java:76)
         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
         at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
         at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
         at java.lang.reflect.Method.invoke(Method.java:497)
         at 
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
         at 
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
         at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
         at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

Thanks
Pan

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