Hub
WorkflowWorkflow

Machine Learning Data App Example

Data App Python Integrated Deployment Dynamic Refresh
+3
Paolotamag profile image

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow is example of data app using: - Custom Python code - KNIME machine learning nodes - View and Widget nodes - Integrated Deployment nodes - New Refresh Button Widget! This workflow was used during the Meet the Developer session at KNIME Data Talk - Community Edition on July 7th 2021.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.0, 4.5.2

    knime
  • KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    knime
  • KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    knime
  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    knime
  • KNIME ServerSpace Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.14.2

    knime
  • KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
Loading deployments
Loading ad hoc executions
Discussion