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Modeling Long- and Short-Term Temporal Patterns

User: "felix_w"
New Altair Community Member
Updated by Jocelyn
Dear Rapidminer Community, 

I recently read about Multivariate Time Series Forecasting with LSTMs and tried to rebuild something similar in Rapidminer but I understood that this is only possible when using the Keras Extension? Is this correct? Or is there a way how to do this in Rapidminer without installing and setting up the Keras and Tensor environment?

In general, are there plans to integrate an operator set to quickly deal with LSTMs directly in Rapidminer Studio? Or is there already one and I totally missed it? ;) 

Best regards 
Felix

My sources: 
https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/
https://arxiv.org/pdf/1703.07015.pdf

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    User: "pschlunder"
    New Altair Community Member
    Accepted Answer
    Hi felix_w,
    look out for tomorrows update. Recurrent layer handling (and for now LSTM layers first) will be added to the extension. Then you'll be able to perform multivariate time-series forecasting with the DL ext. as well without having to rely on Keras.
    It will also include some sample processes.

    Btw: Also included will be an operator to load models trained in Keras and apply them in RapidMiner without having to install keras.

    Regards,
    Philipp