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Multivariate Time Series Analysis with an RNN - Training

Time series Deep learning RNN LSTM Multivariate time series
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This is a simple example workflow for multivariant time series analysis using an LSTM based recurrent neural network and implemented via the KNIME Deep Learning - Keras Integration. It is based on the bike demand predition dataset from Kaggle and trains a model to predict the demand in the next hour based on the demand and the other features in the last 10 hours.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.1
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.1

    knime
  • KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • KNIME Plotly Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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