NodeCASE Switch Data (Start)

Manipulator

This nodes takes the table from the input port and moves it to exactly one active output branch.

Input ports

  1. Input Type: Data
    Input.

Output ports

  1. First Output Type: Data
    The first output (case 0).
  2. Second Output Type: Data
    The second output (case 1).
  3. Third Output Type: Data
    The third output (case 2).

  1. Platform/OS based Case Switch

    This workflow demonstrates using Case Switch Data node based on Platform/OS information obtained from Extract System Pro…
    ipazin > 2019_07_18_Case_Switch_Based_on_Platform

  2. Interactive MLI Composite View

    machine learning interpretability MLI PDP ICE partial dependence individual conditional expectation shapley shapley values explanation explain interpretability interpret violin plot plotly composite view hiliting
    This worflow will show how to use the interactive views of JavaScript nodes to visualize in a single Composite View a nu…
    paolotamag > 03_Interactive_MLI_Composite_View

  3. Demonstration of the KNIME Webportal

    This workflow will allow the user to pick a data source and do some decision tree model learning on it. Valid data sourc…
    knime > Examples > 09_Enterprise > 02_WebPortal > 01_Example_for_a_Data_Mining_WebPortal

  4. 03_Bioactivity_Prediction_Learn_All_Methods

    This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building whe…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_All_Methods

  5. Monster Model Factory

    process automation database access data preprocessing model optimization Model factory Model management Deployment Data Science KNIME Server Server Production
    This workflow is based on abstract KNIME Model Factory and is adapted to Life Sciences use case. Please refer to the blo…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Factory > Model_Factory

  6. Customer Comments Minning Use Case: Guided Analytics Workflow

    This workflow was constructed to understand the consumers’ feedbacks and issues about airline's service quality to impro…
    knime > Examples > 50_Applications > 45_Customer_Experience_and_Sentiment_Analysis > 03_Guided_Analytics

  7. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    shima0011 > 04_Analytics > 11_Optimization > 08_Model_Optimization_and_Selection

  8. Use CASE Switch depending on Value Selection

    CASE Switch Value Selection
    This workflow demonstrates use of CASE Switch based on Value Selection output. For more than 3 values CASE Switch nestin…
    ipazin > 2019_09_12_CASE_Switch_based_on_Value_Selection

  9. Guided Visualization and Exploration

    guided visualization guided analytics guided exploration machine learning automation JavaScript interactive view customization data type conversion nested wrapped metanode KNIME WebPortal CSS data scientist business analyst
    Guided exploration provides a data scientist with insights into data at hand. Any dataset can be used. The data are auto…
    knime > Examples > 50_Applications > 54_Guided_Visualization_and_Exploration > 01_Guided_Visualization_and_Exploration > 03_Guided_Visualization_and_Exploration

  10. Partial Dependence Plot Example

    partial dependence pdp pdp plot ice ice curves individual conditional expectation machine learning interpretability mli MLI preprocessing pre-processing sampling sample linear sampling partial dependence/ICE plot pre-processing component
    This is an example for visualizing partial dependence plot and ICE curves plot in KNIME. An XGBoost model was picked, bu…
    shima0011 > 04_Analytics > 17_Machine_Learning_Interpretability > 02_Partial_Dependence_Pre-processing