KNIME Data Science Learnathon - Group 3A - Manual Deployment Model as Service (Solution)

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Solution to a task for Group 3 in KNIME Data Science Learnathon
- Build a workflow that applies a model that can be called from an external application via REST, or by another workflow stored locally or on KNIME Business Hub
- Learn how to use Container Input/Output nodes vs Workflow Service Input/Output nodes and know the difference

URL: Deploy a REST service on KNIME Business Hub - KNIME TV (YouTube) https://youtu.be/arNvVMDZQxA?si=DYl_FS5lgJBdy06b
URL: KNIME Business Hub User Guide - KNIME Docs https://docs.knime.com/latest/business_hub_user_guide
URL: KNIME Business Hub features in small steps - KNIME Forum https://forum.knime.com/t/knime-business-hub-features-in-small-steps

Nodes

• Constant Value Column2 ×
• Model Reader2 ×
• Random Forest Predictor2 ×
• Table Reader2 ×
• Container Input (Table)1 ×
• Show all 8 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME JSON-Processing
• FeatureKNIME Personal Productivity Tools

Links

• No links available