Deeplearning4J: Process Failed Indexes must be same length as array rank
Below the error I'm getting trying to train my idea (?) of a ConvLSTM Artificial Neural Net. The error pops up once training of the model reaches 100% and before the model can be applied to the testing set.
Process and a portion of the sample data are attached to this post. The config of the sample data is attached as well (screenshot). Thinking about it, I could have included that as an operator into the process... sorry about that.
Any ideas how I could get past this error?
Process and a portion of the sample data are attached to this post. The config of the sample data is attached as well (screenshot). Thinking about it, I could have included that as an operator into the process... sorry about that.
Any ideas how I could get past this error?
Exception: java.lang.IllegalArgumentException Message: Indexes must be same length as array rank Stack trace: org.nd4j.linalg.api.shape.Shape.getOffset(Shape.java:646) org.nd4j.linalg.api.shape.Shape.getDouble(Shape.java:510) org.nd4j.linalg.api.ndarray.BaseNDArray.getDouble(BaseNDArray.java:1804) org.nd4j.linalg.api.ndarray.BaseNDArray.getDouble(BaseNDArray.java:4209) com.rapidminer.extension.deeplearning.ioobjects.DeepLearningModel.performPrediction(DeepLearningModel.java:170) com.rapidminer.operator.learner.PredictionModel.apply(PredictionModel.java:116) com.rapidminer.operator.ModelApplier.doWork(ModelApplier.java:134) com.rapidminer.operator.Operator.execute(Operator.java:1013) 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.extension.concurrency.operator.process_control.loops.AbstractLoopOperator.doIteration(AbstractLoopOperator.java:409) com.rapidminer.extension.concurrency.operator.process_control.loops.AbstractLoopOperator.performSynchronizedLoop(AbstractLoopOperator.java:382) com.rapidminer.extension.concurrency.operator.process_control.loops.AbstractLoopOperator.doWork(AbstractLoopOperator.java:462) com.rapidminer.operator.Operator.execute(Operator.java:1013) 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:1013) com.rapidminer.Process.executeRoot(Process.java:1377) com.rapidminer.Process.execute(Process.java:1318) com.rapidminer.Process.run(Process.java:1291) com.rapidminer.Process.run(Process.java:1177) com.rapidminer.Process.run(Process.java:1130) com.rapidminer.Process.run(Process.java:1125) com.rapidminer.Process.run(Process.java:1115) com.rapidminer.gui.ProcessThread.run(ProcessThread.java:65)<br>