Icon

04_​Model_​Deployment_​dashboard_​WebPortal

Model Deployment Dashboard WebPortal
Model Deployment Guided Execution on WebPortal This workflow: - uploads new unseen data from local file (.table or .csv format) from web browser, - scores the data with the available current model, - appends model prediction and probabilities to original data, - displays web page on web browser with description text, data table with flight delay information, bar chart of delay occurences, and link to file download.Blog post available at https://www.knime.org/blog/seven_modes_deploymentVideo available at https://youtu.be/Og7VZOJhsOc Apply Model- PMML predictor- Dedicated predictor - SQL model recoding- Executable JAR model Input - Static from file or database (upload file) - Dynamic through REST Interface Output (Prediction Score) - Static to file or database - Dynamic through REST Interface - Static visual: report or email - Dynamic visual: dashboard - External application update Deployment Mode - Remote execution from server - Scheduled execution from server - External application - REST API from Server - Guided Execution on WebPortal Builds menu on WebPortal with list destination airport.Select onedefault ORDReading deployment data from fileRead modelinfosUpload filefrom local machinePredict usingbest modelCreate table on the WebPortal with flights delayinformation Problem Constraints Table Reader Table Reader File Upload Predictor Departure Table Model Deployment Guided Execution on WebPortal This workflow: - uploads new unseen data from local file (.table or .csv format) from web browser, - scores the data with the available current model, - appends model prediction and probabilities to original data, - displays web page on web browser with description text, data table with flight delay information, bar chart of delay occurences, and link to file download.Blog post available at https://www.knime.org/blog/seven_modes_deploymentVideo available at https://youtu.be/Og7VZOJhsOc Apply Model- PMML predictor- Dedicated predictor - SQL model recoding- Executable JAR model Input - Static from file or database (upload file) - Dynamic through REST Interface Output (Prediction Score) - Static to file or database - Dynamic through REST Interface - Static visual: report or email - Dynamic visual: dashboard - External application update Deployment Mode - Remote execution from server - Scheduled execution from server - External application - REST API from Server - Guided Execution on WebPortal Builds menu on WebPortal with list destination airport.Select onedefault ORDReading deployment data from fileRead modelinfosUpload filefrom local machinePredict usingbest modelCreate table on the WebPortal with flights delayinformation Problem Constraints Table Reader Table Reader File Upload Predictor Departure Table

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: iris.adae
Created at: 2015-10-07
On NodePit since: 2020-05-10
Last update: 2024-11-17
Created with KNIME version: v4.1.2
Tags: DeploymentModelPredictionDashboardWebPortalInteractivityGuided AnalyticsFlight Delay

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!