AutoML with other Verified Components for XAI and MLOps

This workflow showcases the AutoML component for binary and multiclass classification together with other components.
This Component (highlighted in red frames) uses the KNIME Integrated Deployment Extension to train several models and combine them in a production workflow.
Using the Integrated Deployment connections (black ports) the AutoML Component can be combined with other KNIME Verified Components for eXplainable AI and MLOps use cases.
Find below links to all the online contents to learn more on the topic.

External resources

• KNIME Integrated Deployment - knime.com
• Guided Analytics - knime.com
• KNIME Verified Components - knime.com
• Model Monitor View (Compare) - Verified Component - hub.knime.com
• Model Monitor View - Verified Component - hub.knime.com
• XAI View - Verified Component - hub.knime.com
• Local Explanation View - Verified Component - hub.knime.com
• Global Feature Importance - Verified Component - hub.knime.com
• Five Ways to Apply Integrated Deployment - KNIME Blog
• Integrated Deployment - Automated Machine Learning - KNIME Blog
• Integrated Deployment KNIME Blog Articles - KNIME Blog