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03_​Production_​Workflow_​for_​Orchestration

Production Workflow from Machine Learning Data App for Workflow Orchestration
Python Pickled Objectport 0 : pickled objectport 1: raw datacustom thresholdapply custom thresholdXGBoost Model ObjectPortObjectReference Reader Conda EnvironmentPropagation Python Script PortObjectReference Reader XGBoost Predictor Inject Variables(Data) Extract Variables(Data) Custom DataPreparation Rule Engine PortObjectReference Reader WorkflowService Input WorkflowService Output Python Pickled Objectport 0 : pickled objectport 1: raw datacustom thresholdapply custom thresholdXGBoost Model ObjectPortObjectReference Reader Conda EnvironmentPropagation Python Script PortObjectReference Reader XGBoost Predictor Inject Variables(Data) Extract Variables(Data) Custom DataPreparation Rule Engine PortObjectReference Reader WorkflowService Input WorkflowService Output

Nodes

Extensions

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: 2022-03-29
On NodePit since: 2022-03-29
Last update: 2024-05-01
Created with KNIME version: v4.5.2
Tags: integrated deploymentcall workflow nodeorchestration

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