Workflow
Continous Deployment - Modelling Workflow
This workflow is using Integrated Deployment in a complex Guided Analytics application hardcoded to work with a Churn Prediction dataset.
Workflow steps:
- access and blend the data
- perform data exploration
- prepare the data with normal nodes and an interactive view
- optimize, train and test two models
- retrain and test the interactively selected model
- generate a final training workflow
- generate a final deployment workflow from the training workflow
- deploy the workflow on KNIME Server
This workflow also works on KNIME WebPortal and its use case is simple churn prediction
Used extensions & nodes
Created with KNIME Analytics Platform version 4.2.3
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