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10.1 Integrated Deployment (Optional)

Integrated Deployment

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 data port types tostart capturing your preprocessing part of the workflow. - use the Number to String node to convert the SentimentRatingand WebActivity columns- use the Capture Workflow End node with data port types to endyour preprocessing part of the workflow Step 2: Capture Prediction Model- use the Capture Workflow Start node with data port types tostart capturing your prediction model- use the Decision Tree Predictor node for your model predictions- use the Capture Workflow End node with data port types to endyour prediction model Step 3: Combine captured Workflowsand Deploy- use the Workflow Combiner node tocombine the preprocessing workflow and themodel prediction workflow (HINT: the first partneeds to be connected to the upper input port)- use the Workflow Writer node to deploy yourworkflow 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.table DecisionTree Learner Table Reader Partitioning Step 1: Capture Preprocessing- use the Capture Workflow Start node with data port types tostart capturing your preprocessing part of the workflow. - use the Number to String node to convert the SentimentRatingand WebActivity columns- use the Capture Workflow End node with data port types to endyour preprocessing part of the workflow Step 2: Capture Prediction Model- use the Capture Workflow Start node with data port types tostart capturing your prediction model- use the Decision Tree Predictor node for your model predictions- use the Capture Workflow End node with data port types to endyour prediction model Step 3: Combine captured Workflowsand Deploy- use the Workflow Combiner node tocombine the preprocessing workflow and themodel prediction workflow (HINT: the first partneeds to be connected to the upper input port)- use the Workflow Writer node to deploy yourworkflow 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.table DecisionTree Learner Table Reader Partitioning

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: 2023-09-02
Last update: 2024-11-18
Created with KNIME version: v4.5.0
Tags: exportwritepmmldeploymenteducationintegrated deployment

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