Bug message when running Keras: Extraction of nominal example value for non-nominal attribute 'RUL'

User: "pxkst970"
New Altair Community Member
Updated by Jocelyn
Hello, I have the following bug below when I tried to run Keras (Deep Neural Net 3 Dense layer with 1 Dropout layer). I've also attached the screenshot of my process. Note that I tried the same process with the different datasets but got no issue. Both datasets predict the numerical value (the label is number, not category). If anyone knows it's a bug or I did something wrong ... please ... please help.

Thank you!

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Exception: com.rapidminer.example.AttributeTypeException
Message: Extraction of nominal example value for non-nominal attribute 'RUL' is not possible.
Stack trace:

  com.rapidminer.example.Example.getNominalValue(Example.java:98)
  com.rapidminer.operator.performance.SimpleCriterion.countExample(SimpleCriterion.java:93)
  com.rapidminer.operator.performance.AbstractPerformanceEvaluator.evaluate(AbstractPerformanceEvaluator.java:470)
  com.rapidminer.operator.performance.AbstractPerformanceEvaluator.evaluate(AbstractPerformanceEvaluator.java:393)
  com.rapidminer.operator.performance.AbstractPerformanceEvaluator.doWork(AbstractPerformanceEvaluator.java:256)
  com.rapidminer.operator.Operator.execute(Operator.java:1032)
  com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77)
  com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:812)
  com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:807)
  java.security.AccessController.doPrivileged(Native Method)
  com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:807)
  com.rapidminer.operator.OperatorChain.doWork(OperatorChain.java:423)
  com.rapidminer.operator.Operator.execute(Operator.java:1032)
  com.rapidminer.Process.executeRoot(Process.java:1378)
  com.rapidminer.Process.lambda$executeRootInPool$5(Process.java:1357)
  com.rapidminer.studio.concurrency.internal.AbstractConcurrencyContext$AdaptedCallable.exec(AbstractConcurrencyContext.java:328)
  java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
  java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
  java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
  java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157)