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02_​Deployment_​Workflow_​with_​Integrated_​Deployment

Production Workflow with Integrated Deployment

This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showcasing Integrated Deployment introduce in KNIME 4.2. You can see how the trained model automatically captured (via Capture Workflow nodes) and deployed (via a Workflow Writer node). The PortObject Reference Reader nodes are used to load static parameters used by the deployed model: the missing value imputation model, the trained random forest and the optimized threshold.

Area code and churn are converted to String. trained modelmissing value imputationmodelapply newthresholdoptimzied thresholdNumber To String PortObjectReference Reader Random ForestPredictor PortObjectReference Reader Missing Value(Apply) Rule Engine PortObjectReference Reader Domain Calculator ContainerInput (Row) ContainerOutput (Row) Column Filter Area code and churn are converted to String. trained modelmissing value imputationmodelapply newthresholdoptimzied thresholdNumber To String PortObjectReference Reader Random ForestPredictor PortObjectReference Reader Missing Value(Apply) Rule Engine PortObjectReference Reader Domain Calculator ContainerInput (Row) ContainerOutput (Row) Column Filter

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Links

Download

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

Download Workflow
Created by: paolotamag
Created at: 2020-07-07
On NodePit since: 2020-07-17
Last update: 2024-04-18
Created with KNIME version: v4.5.1
Tags: integrated deploymentcaptureportobjectreferencewritten workflowdeployed workflowdeploymentdeployed

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