CASE Switch Data (Start)
This nodes takes the table from the input port and moves it to exactly one active output branch.
- Type: Data Input.
- Type: Data The first output (case 0).
- Type: Data The second output (case 1).
- Type: Data The third output (case 2).
Anomaly Detection. Control Chartanomaly detection time series analysis auto-regressive models time alignmentThis workflow detects anomalies just by checking the wandering off of the signal from a band centered around the time se…Examples > 50_Applications > 17_AnomalyDetection
03_Bioactivity_Prediction_Learn_Testingparameter optimization loop machine learningThis workflow is used for learning the model. It deploys a simple version of parameter optimzation protocol designed for…Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates
Model Selection to predict Death Occurrences in Car AccidentsThis workflow trains a few data analytics models and automatically selects the best one to predict death in car accident…Examples > 50_Applications > 21_Model_Selection_and_Management
The KNIME Model Factorymodel process model process factory enterpriseThis workflow is part of the model factory eco system. Please refer to our white paper for further details. This is the …Examples > 50_Applications > 26_Model_Process_Management > Factory
Monster Model Factoryprocess automation database access data preprocessing model optimization Model factory Model management Deployment Data Science KNIME Server Server ProductionThis workflow is based on abstract KNIME Model Factory and is adapted to Life Sciences use case. Please refer to the blo…Examples > 50_Applications > 37_Monster_Model_Factory > Factory
Anomaly Detection. Time Series AR DeploymentThis workflow applies a previously trained auto-regressive model to predict signal values. The model was trained for nor…Examples > 50_Applications > 40_Anomaly_Detection
Upload a file and visualize as scatter plotThis workflow demonstrates a usecase of the KNIME Webportal. Here a file can be uploaded and different parameters are ch…Examples > 09_Enterprise > 02_WebPortal
Guided AutomationautoML guided analytics automated machine learning guided automation feature engineering parameter optimization hyperparameter hyper-parameter optimization feature selection WebPortal application web app machine learningThis workflow generates a fully automated web based application to select, train, test, and optimize a number of machine…Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation
03_Bioactivity_Prediction_Learn_All_MethodsThis workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building whe…Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates
Workflow Control > Switches
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