java.lang.IllegalArgumentException: requirement failed: users in PreparedData cannot be empty. Please check if DataSource generates TrainingData and Preprator generates PreparedData correctly.

Google Groups | Vihang Mirkhelkar | 2 years ago
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    Error While Installing PredictionIO Python SDK

    Google Groups | 2 years ago | Vihang Mirkhelkar
    java.lang.IllegalArgumentException: requirement failed: users in PreparedData cannot be empty. Please check if DataSource generates TrainingData and Preprator generates PreparedData correctly.
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    viewEvents in preparedData cannot be empty

    Google Groups | 1 year ago | Ravi Srivastava
    java.lang.IllegalArgumentException: requirement failed: users in PreparedData cannot be empty. Please check if DataSource generates TrainingData and Preprator generates PreparedData correctly.
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    pio train - viewEvents in preparedData cannot be empty

    Google Groups | 1 year ago | Harsha Reddy
    java.lang.IllegalArgumentException: requirement failed: users in PreparedData cannot be empty. Please check if DataSource generates TrainingData and Preprator generates PreparedData correctly.
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    JIRA is being discontinued

    Google Groups | 1 year ago | Pat Ferrel
    java.lang.IllegalArgumentException: requirement failed: users in PreparedData cannot be empty. Please check if DataSource generates TrainingData and Preprator generates PreparedData correctly.
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    Apache Spark User List - java.lang.IllegalArgumentException: requirement failed: No output operations registered, so nothing to execute

    nabble.com | 4 months ago
    java.lang.IllegalArgumentException: requirement failed: No output operations registered, so nothing to execute

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Root Cause Analysis

  1. java.lang.IllegalArgumentException

    requirement failed: users in PreparedData cannot be empty. Please check if DataSource generates TrainingData and Preprator generates PreparedData correctly.

    at scala.Predef$.require()
  2. Scala
    Predef$.require
    1. scala.Predef$.require(Predef.scala:233)
    1 frame
  3. com.rockstand
    ALSAlgorithm.train
    1. com.rockstand.ALSAlgorithm.train(ALSAlgorithm.scala:53)
    2. com.rockstand.ALSAlgorithm.train(ALSAlgorithm.scala:43)
    2 frames
  4. io.prediction.controller
    Engine$$anonfun$18.apply
    1. io.prediction.controller.P2LAlgorithm.trainBase(P2LAlgorithm.scala:46)
    2. io.prediction.controller.Engine$$anonfun$18.apply(Engine.scala:688)
    3. io.prediction.controller.Engine$$anonfun$18.apply(Engine.scala:688)
    3 frames
  5. Scala
    AbstractTraversable.map
    1. scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
    2. scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
    3. scala.collection.immutable.List.foreach(List.scala:318)
    4. scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
    5. scala.collection.AbstractTraversable.map(Traversable.scala:105)
    5 frames
  6. io.prediction.controller
    Engine.train
    1. io.prediction.controller.Engine$.train(Engine.scala:688)
    2. io.prediction.controller.Engine.train(Engine.scala:174)
    2 frames
  7. io.prediction.workflow
    CreateWorkflow.main
    1. io.prediction.workflow.CoreWorkflow$.runTrain(CoreWorkflow.scala:65)
    2. io.prediction.workflow.CreateWorkflow$.main(CreateWorkflow.scala:247)
    3. io.prediction.workflow.CreateWorkflow.main(CreateWorkflow.scala)
    3 frames
  8. Java RT
    Method.invoke
    1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    4. java.lang.reflect.Method.invoke(Method.java:606)
    4 frames
  9. Spark
    SparkSubmit.main
    1. org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665)
    2. org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170)
    3. org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193)
    4. org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
    5. org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
    5 frames