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Integrated Deployment
Education Deployment AutoML Guided analytics XAI Automated machine learning Machine learning Capture Workflow Abstraction
  1. Go to item
    Workflow
    AutoML Component via Interactive Views
    AutoML Automated machine learning Guided analytics
    +1
    This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The key of this exam…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 03_AutoML_Deployment > 01_AutoML_Component_via_Interactive_Views
    13
    knime
  2. Go to item
    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
  3. Go to item
    Workflow
    AutoML Regression and Classification Examples
    AutoML Automated machine learning Guided analytics
    +6
    This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this examp…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 03_AutoML_Deployment > 02_AutoML_Regression_and_Classification_Examples
    3
    knime
  4. Go to item
    Workflow
    Model Inspection with Verified Components for Responsible AI
    AutoML Integrated deployment XAI
    +9
    This workflow demonstrates the usage of the verified components developed to interpret machine learning models. In the example we…
    paolotamag > Public > Model_Inspection_Examples
    2
    paolotamag
  5. Go to item
    Workflow
    eXplainable Artificial Intelligence (XAI) - Simple
    AutoML Automated machine learning Guided analytics
    +8
    This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models ar…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 05_Explainable_Artificial_Intelligence_(XAI) > 01_Explainable_Artificial_Intelligence_(XAI)_Simple
    2
    knime
  6. Go to item
    Workflow
    Continous Deployment - Modelling Workflow
    Integrated deployment KNIME Incpetion Continous
    +3
    This workflow is using Integrated Deployment in a complex Guided Analytics application hardcoded to work with a Churn Prediction …
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 02_Continous_Deployment > 01_Modelling_Workflow
    2
    knime
  7. Go to item
    Workflow
    Sentiment Analysis with Integrated Deployment - Training
    Sentiment analysis Integrated deployment RNN
    +1
    There has been no description set for this workflow's metadata.
    kathrin > Codeless Deep Learning with KNIME > Chapter_10 > Integrated_Deployment > Sentiment_Analysis_Training_With_Integrated_Deployment
    1
    kathrin
  8. Go to item
    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
  9. Go to item
    Workflow
    Explaining the Credit Scoring Model with Model Interpretability Components
    AutoML Integrated deployment XAI
    +4
    This workflow demonstrates the usage of the verified components developed to interpret machine learning models. In the example, t…
    lada > Public > XAI > 02_XAI_Credit_Scoring_Example
    1
    lada
  10. Go to item
    Workflow
    Local Interpretation Workflow
    XAI Counterfactual AutoML
    +7
    This workflow demonstrates the use of the Local Explanation View component on three separate datasets on which the AutoML compone…
    corey > Public > 01_Local_Explanation_Examples
    1
    corey
  11. Go to item
    Workflow
    Day5 Analytics - Cost Prediction with PyCaret
    Machine learning PyCaret Python
    +2
    Demonstrates the building of a deployable machine learning model using KNIME Integrated Deployment and PyCaret. Compares results …
    supersharp > Finance, Accounting and Audit Automation > Cost Prediction with PyCaret > Day5 Analytics - Cost Prediction with PyCaret
    1
    supersharp
  12. Go to item
    Workflow
    Conformal prediction classification
    Conformal prediction Classification Integrated deployment
    +2
    This demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model pre…
    artem > Public > Conformal prediction classification
    1
    artem
  13. Go to item
    Workflow
    Model Simulation View Examples
    AutoML Automated machine learning Guided analytics
    +11
    This workflow shows how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …
    paolotamag > Public > Model_Simulation_View_Example
    1
    paolotamag
  14. Go to item
    Workflow
    Compute and Visualize Global Feature Importance Metrics
    AutoML Automated machine learning Guided analytics
    +9
    This application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME …
    lada > Public > XAI > 01_Global_Feature_Importance_Example
    1
    lada
  15. Go to item
    Workflow
    Training Workflow with Integrated Deployment
    Integrated Deployment Deployment Capture
    +3
    This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showc…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 01_Machine_Learning_Deployment > 02_Machine_Learning_with_Integrated_Deployment > 01_Modelling_Workflow_with_Integrated_Deployment
    1
    knime
  16. Go to item
    Workflow
    Production Workflow with Integrated Deployment
    Integrated deployment Capture Portobject
    +5
    This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showc…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 01_Machine_Learning_Deployment > 02_Machine_Learning_with_Integrated_Deployment > 02_Deployment_Workflow_with_Integrated_Deployment
    1
    knime
  17. Go to item
    Workflow
    Anonymizing Workflow Service
    Workflow Service Integrated Deployment Database
    This workflow can be used as a workflow service. A caller sends a SQL query and a workflow snippets via the corresponding Workflo…
    knime > Examples > 06_Control_Structures > 07_Workflow_Orchestration > 03_Process_Anonymized_Data > 01_Anonymizer
    1
    knime
  18. Go to item
    Workflow
    Consumer of Anonymization Workflow Service
    Integrated Deployment Call Workflow Workflow Service
    This workflow makes use of the workflow 01_Anonymizer. It sends a SQL query and a workflow snippet to it and receives the results…
    knime > Examples > 06_Control_Structures > 07_Workflow_Orchestration > 03_Process_Anonymized_Data > 02_Consumer
    1
    knime
  19. Go to item
    Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Life Sciences > Events > 2020_10_Integrated_Deployment_In_Action_Webinar > Model Selection with Integrated Deployment
    1
    knime
  20. Go to item
    Node / Manipulator
    Workflow Combiner
    Workflow Abstraction Integrated Deployment
    Allows to connect various workflows into one workflow. Free output ports from one workflow are connected to the free input ports …
    1
    knime

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