In Keras iris classification model getting error process failed.

RBSB61

• Exception: java.lang.NullPointerException
• Message: null
• Stack trace:
• java.lang.ProcessBuilder.start(ProcessBuilder.java:1012)
• com.rapidminer.operator.scripting.AbstractScriptRunner.getProcessWithLogging(AbstractScriptRunner.java:374)
• com.rapidminer.operator.scripting.python.PythonScriptRunner.start(PythonScriptRunner.java:322)
• com.rapidminer.operator.scripting.AbstractScriptRunner.run(AbstractScriptRunner.java:157)
• com.rapidminer.extension.keras.general.Sequential.doWork(Sequential.java:436)
• com.rapidminer.operator.Operator.execute(Operator.java:1023)
• com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77)
• com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:805)
• com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:800)
• java.security.AccessController.doPrivileged(Native Method)
• com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:800)
• com.rapidminer.operator.OperatorChain.doWork(OperatorChain.java:423)
• com.rapidminer.operator.Operator.execute(Operator.java:1023)
• com.rapidminer.Process.executeRoot(Process.java:1464)
• com.rapidminer.Process.lambda$executeRootInPool$5(Process.java:1443)
• com.rapidminer.studio.concurrency.internal.AbstractConcurrencyContext$AdaptedCallable.exec(AbstractConcurrencyContext.java:362)
• 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:175)

Also potential problem which was detected Mandatory input at port missing Apply Keras Model.model

ceaperez

Hi @RBSB61,

Are you trying to run a model using the Keras extension?

The Keras extension is so specific about the version as Varunm1 said in this post

https://community.rapidminer.com/discussion/57020/error-on-keras-model

The best option is to work with python with the Execute Python operator. 

Best

jacobcybulski

Yes, Keras app has not been updated for a long while - since 2017. The last time I used it it worked with Python 3.6 and Tensorflow 1.4, with Keras installed separately on top. As the world moved on and now Keras is part of Tensorflow 2+ distribution, this extension has slipped into obsolescence. I think it is time to move into Deep Learning extension, which is being developed and supported by RapidMiner!