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  • KNIME 5.12
    KNIME 55.12LTS5.115.105.95.8LTS5.75.65.5LTS5.45.35.25.15.0
    KNIME 44.74.64.54.44.34.24.14.0
    KNIME 33.73.6
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  7. Multivariate LSTM Forecasting of Urban Bike DemandMultivariate LSTM Forecasting of Urban Bike Demand
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Multivariate LSTM Forecasting of Urban Bike Demand

Nodes

  • Lag Column13 ×
  • Math Formula8 ×
  • Row Filter5 ×
  • Rule Engine4 ×
  • Column Renamer3 ×
  • Column Filter2 ×
  • Keras Dense Layer2 ×
  • CSV Reader1 ×
  • Column Resorter1 ×
  • Counter Generation1 ×
  • Create Collection Column1 ×
  • Joiner1 ×
  • Keras Dropout Layer1 ×
  • Keras Input Layer1 ×
  • Keras LSTM Layer1 ×
  • Keras Network Executor1 ×
  • Keras Network Learner1 ×
  • Normalizer1 ×
  • Normalizer (Apply)1 ×
  • Numeric Scorer1 ×
  • Scatter Plot1 ×
  • Scorer1 ×
  • Sorter1 ×
  • Split Collection Column1 ×
  • String to Date&Time1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Data Generation
  • FeatureKNIME Deep Learning - Keras Integration
  • FeatureKNIME Javasnippet
  • FeatureKNIME Math Expression (JEP)
  • Show all 6 modules

Links

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Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: HP
Created at: 2026-10-06
On NodePit since: 2026-10-06
Last update: 2026-10-12
Created with KNIME version: v5.4.4

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