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10.1 Integrated Deployment - solution

Integrated Deployment - Solution

Solution to the exercise 6.1 for KNIME User Training
- Train a Decision Tree model
- Capture preprocessing and trained model
- Deploy workflow with Integrated Deployment

Step 1: Capture Preprocessing- use the Capture Workflow Start node with dataport types to start capturing your preprocessingpart of the workflow. - use the Number to String node to convert theSentimentRating and WebActivity columns- use the Capture Workflow End node with dataport types to end your preprocessing part of theworkflow Step 2: Capture Prediction Model- use the Capture Workflow Start node with dataport types to start capturing your prediction model- use the Decision Tree Predictor node for yourmodel predictions- use the Capture Workflow End node with dataport types to end your prediction model Step 3: Combine capturedWorkflows and Deploy- use the Workflow Combinernode to combine the preprocessingworkflow and the model predictionworkflow (HINT: the first part needsto be connected to the upper inputport)- use the Workflow Writer node todeploy your workflow Activity I: Create Model for Deployment - capture the preprocessing of your data and the model prediction using the Capture Workflow Start and Capture Workflow End nodes - combine your captured workflows using the Workflow Combiner - write/deploy your workflow using the Workflow Writer node ReadCurrentDetailData.tableCapturepreprocessingCapture modelDeploy workflow DecisionTree Learner Decision TreePredictor Table Reader Number To String Partitioning CaptureWorkflow Start CaptureWorkflow End CaptureWorkflow Start CaptureWorkflow End Workflow Combiner Workflow Writer Step 1: Capture Preprocessing- use the Capture Workflow Start node with dataport types to start capturing your preprocessingpart of the workflow. - use the Number to String node to convert theSentimentRating and WebActivity columns- use the Capture Workflow End node with dataport types to end your preprocessing part of theworkflow Step 2: Capture Prediction Model- use the Capture Workflow Start node with dataport types to start capturing your prediction model- use the Decision Tree Predictor node for yourmodel predictions- use the Capture Workflow End node with dataport types to end your prediction model Step 3: Combine capturedWorkflows and Deploy- use the Workflow Combinernode to combine the preprocessingworkflow and the model predictionworkflow (HINT: the first part needsto be connected to the upper inputport)- use the Workflow Writer node todeploy your workflow Activity I: Create Model for Deployment - capture the preprocessing of your data and the model prediction using the Capture Workflow Start and Capture Workflow End nodes - combine your captured workflows using the Workflow Combiner - write/deploy your workflow using the Workflow Writer node ReadCurrentDetailData.tableCapturepreprocessingCapture modelDeploy workflow DecisionTree Learner Decision TreePredictor Table Reader Number To String Partitioning CaptureWorkflow Start CaptureWorkflow End CaptureWorkflow Start CaptureWorkflow End Workflow Combiner Workflow Writer

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: knime
Created at: 2014-02-07
On NodePit since: 2024-01-14
Last update: 2024-12-17
Created with KNIME version: v4.6.1
Tags: exportwritepmmldeploymenteducationintegrated deployment

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