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Model monitoring
Continous Credit card Credit card data Deployment Fraud detection Integrated deployment Data drift Synthetic data
  1. Workflow
    Model Monitoring with Integrated Deployment
    Model management Model monitoring Monitor
    +6
    This is an example showing how you can monitor a deployed model using Integrated Deployment and Guided Analytics. When training a…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 06_Model_Monitoring_with_MLOps > 01_Model_Monitoring_with_AutoML_and_MLOps
    3
    knime
  2. Workflow
    00 Data Generation
    Data drift Synthetic data Data generation
    +1
    Generate 10 years of synthetic data taking into account the dependency columns using the Synthetic Data Generator component. For …
    emilio_s > Blogposts > Data Drift > 00 Data Generation
    1
    emilio_s
  3. Workflow
    02 Data Quality Assessment
    Data drift Synthetic data Model monitoring
    This workflow service is meant to be called by an external workflow. It carries out the Data Quality assessment on the data store…
    emilio_s > Blogposts > Data Drift > 02 Data Quality Assessment
    1
    emilio_s
  4. Workflow
    AutoML with other Verified Components for XAI and MLOps
    Model management Model monitoring Monitor
    +12
    This workflow showcases the AutoML component for binary and multiclass classification together with other components. This Compon…
    mpattadkal > Public > Others > 01_AutoML_Example_Workflow
    1
    mpattadkal
  5. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    knime > Continuous Deployment for Data Science > CDDS Workflows > Development > Fraud Detection with Monitoring > Training > Training_workflow
    0
    knime
  6. Workflow
    03 Visualization
    Data drift Model monitoring Visualization
    +2
    This workflow shows the evolving of the data and the monitored model over a 10 year period. The data shown are synthetically gene…
    emilio_s > Blogposts > Data Drift > 03 Visualization
    0
    emilio_s
  7. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    knime > Continuous Deployment for Data Science > Example projects > Fraud Detection > Level_3_Fraud Detection with Monitoring > Training > Training_workflow
    0
    knime
  8. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    knime > Continuous Deployment for Data Science > CDDS Workflows > Administration > 02_Examples > Fraud Detection > Level_3_Fraud Detection with Monitoring > Training > Training_workflow
    0
    knime
  9. Workflow
    01 Automatic Retraining Check
    Data drift Synthetic data Model monitoring
    This workflow calls a workflow service to perform data quality assessment on the data. It provides the parameters required by the…
    emilio_s > Blogposts > Data Drift > 01 Automatic Retraining Check
    0
    emilio_s
  10. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    fitofeijoo > Public > 03_Examples > Fraud Detection > Level_3_Fraud Detection with Monitoring > Training > Training_workflow
    0
    fitofeijoo