Recurrent Neural Network for Time Series: Error message

Hello everyone.

I tried to run a model with a time series using wekaDeeplearning4j but I received the following error message: "Problem evaluating forecaster: The attribute at index <0 is not relational".

My configuration was as follows:

Data: airline_passengers
Test options: cross-validation 10 folds
Classifier: Dl4jMlpClassifier
Class: (Num) passenger_numbers
layer specification: LSTM - activation function: ActivationTanH, gate activation function: ActivationTanH, the other parameters with default settings
                                 RnnOutputLayer - activation function: ActivationTanH, loss function: LossMSE, the other parameters with default settings
instance iterator: RelationalInstanceIterator - truncation length: 144, the other parameters with default settings
All the other parameters with default settings

With the Forecast package, I received the same error message.

I tried changing the relational attribute index from 0 to 1 but I got the same message. When using 2 or more I receive the message: "Problem evaluating classifier: Index 2 out of bounds for length 2"

Any idea of how to solve it? 

Thank you.

Carlos

P.D.: I have a Mac and a Windows computer and the same happened using both systems.
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