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Multivariate Time Series Analysis with an RNN - Deployment

Time series Deep learning RNN LSTM Multivariate time series
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This is a simple example workflow for the deployment of a multivariant time series, LSTM based, recurrent neural network. It is based on the bike demand predition dataset from Kaggle and uses the trained model to predict the demand in the next hour based on the demand and the other features in the last 10 hours.

External resources

  • Dataset on Kaggle

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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