Column Selection

QuickForm

Takes a data table and returns a variable with the selected column name. The selection can also be controlled from a quickfrom (WebPortal).

The node supports custom CSS styling. You can simply put CSS rules into a single string and set it as a flow variable 'customCSS' in the node configuration dialog. You will find the list of available classes and their description on our documentation page.

Input Ports

  1. Type: Data
    Table containing the column.

Output Ports

  1. Type: Flowvariable
    Variable output (string) with the selected column name.

  1. Model Selecion via WebPortal

    guided analytics analytics WebPortal KNIME WebPortal Machine Learning Model Selection ROC Curve Lift Curve Model Evaluation
    This workflow creates a model selction on the webportal, where data analysts can choose a training and a test set betwee…
    Users > knime > Examples > 09_Enterprise > 02_WebPortal

  2. 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…
    Users > knime > Examples > 09_Enterprise > 02_WebPortal

  3. BLAST from the PAST

    bioinformatics DNA sequence comparison asynchronous REST operations BLAST RESTful interfaces
    This example shows how to run the BLAST RESTful interfaces to submit BLAST searches inside of KNIME Analytics Platform. …
    Users > knime > Examples > 50_Applications > 48_BLAST_from_the_PAST

  4. DB Looping and Parameterized Reader Nodes

    This workflow demonstrates the legacy Database Looping and Parameterized Database Query node as well as the new Paramete…
    Users > tobias.koetter > DB

  5. Deployment_workflow

    Demand prediction random forest time series prediction mode Spark cluster NYC taxi datset
    In this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to…
    Users > knime > Examples > 10_Big_Data > 02_Spark_Executor > 11_Taxi_Demand_Prediction

  6. Outlier Detection in Medical Claims

    The goal of the workflow is to identify outliers in the medical claim data such as claims with an unusual high cost for …
    Users > knime > Examples > 50_Applications > 14_Medical_Claims

  7. Wide and Deep Learning on the Census dataset

    deep learning wide learning tensorflow keras machine learning
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data prepa…
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras

  8. HoughLinesWorkflow

    Users > l.thomas

  9. Filter an HTS hitlist

    This workflow demonstrates the initial steps of a high-throughput screening hitlist triaging workflow: removing molecule…
    Users > knime > Examples > 50_Applications > 32_Hitlist_Processing

  10. _01_ChemicalLibraryEnumeration

    This example flow will take an SDFile containing organic amines and acids and will perform a amide formation reaction. Y…
    Users > knime > Examples > 50_Applications > _01_Chemical_Library_Enumeration

Extension

This node is part of the extension

KNIME Quick Forms

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform