let's say you have a model which is of class
"org.apache.spark.mllib.classification.LogisticRegressionModel"
you can save model to disk as following:
 
  /import java.io.FileOutputStream
  import java.io.ObjectOutputStream
  val fos = new FileOutputStream("e:/model.obj") 
  val oos = new ObjectOutputStream(fos)   
  oos.writeObject(model)   
  oos.close/

and load it in: 
  /import java.io.FileInputStream
  import java.io.ObjectInputStream
  val fos = new FileInputStream("e:/model.obj")
  val oos = new ObjectInputStream(fos)
  val newModel =
oos.readObject().asInstanceOf[org.apache.spark.mllib.classification.LogisticRegressionModel]/

you can check that '/newModel.weights/' gives you the weights, implying that
newModel is loaded successfully.

There remains, however, another problem, which confuses me badly: when i use
the loaded newModel to predict on LabeledPoints, there is always a "Task not
serializable" exception! Detailed logs:
INFO DAGScheduler: Failed to run count at <console>:49
org.apache.spark.SparkException: Job aborted due to stage failure: Task not
serializable: java.io.NotSeri
        at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndInd
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
        at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
        at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissing
        at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(D
        at
org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:697)
        at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGSch
        at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
        at akka.actor.ActorCell.invoke(ActorCell.scala:456)
        at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
        at akka.dispatch.Mailbox.run(Mailbox.scala:219) in 2646 ms on
localhost (progress: 345/345)
        at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
        at
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)ed in
528.389 s
        at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)ed,
from pool
        at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
        at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

Any help here?
 PS. any one knows the *constructor function* of the model assuming you have
weights and intercept?
  
 



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