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01_​Deploying_​and_​Validating_​models_​as_​WebServices

Validating KNIME Workflows
USER: provide data file here Adds reference dataif the input table isempty Tests the predictionsagainst a golden table(if necessary) USER: here are theresults! Generate fingerprints and model predictions for the molecules in the table This workflow demonstrates a technique to deploy a model prediction workflow as a web service and to validate that it is doing what it's supposed to do. Test configurationMFP2Prediction outputUser provided dataread modelsAppend input columns Choose dataset Run Tests ifNecessary TestflowConfiguration RDKit Fingerprint ContainerInput (Table) GeneratePredictions ContainerOutput (Table) Table Reader Table Reader Column Appender USER: provide data file here Adds reference dataif the input table isempty Tests the predictionsagainst a golden table(if necessary) USER: here are theresults! Generate fingerprints and model predictions for the molecules in the table This workflow demonstrates a technique to deploy a model prediction workflow as a web service and to validate that it is doing what it's supposed to do. Test configurationMFP2Prediction outputUser provided dataread modelsAppend input columns Choose dataset Run Tests ifNecessary TestflowConfiguration RDKit Fingerprint ContainerInput (Table) GeneratePredictions ContainerOutput (Table) Table Reader Table Reader Column Appender

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

Download Workflow
Created by: glandrum
Created at: 2018-12-03
On NodePit since: 2019-07-12
Last update: 2024-04-26
Created with KNIME version: v4.5.0
Tags: reproducibilityvalidationtestingXGBoostRDKitPracticing Data Science

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