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Split features & create default flow variables

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VersionInitial versionLatest, created on 
Jun 16, 2024 6:59 PM
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This component splits the data set features in categorical and numerical feature tables. It also creates default flow variables from the data set. They are used in the EDA components to avoid the component to fail on unseen data sets if no default values are provided.

Component details

Input ports
  1. Type: Table
    Port 1
    Input table.
Output ports
  1. Type: Flow Variable
    Port 1
    Default variables: - Default_Var_cont_0 - Default_Var_cont_1 - Default_Var_nominal_0 - Default_Var_nominal_1 They are used in the EDA components to avoid the component to fail on unseen data sets if no default values are provided.
  2. Type: Table
    Port 2
    Categorical nominal value columns
  3. Type: Table
    Port 3
    Continuous value columns
  4. Type: Table
    Port 4
    Original data table (no changes)

External resources

  • Divide icons created by Freepik - Flaticon

Used extensions & nodes

Created with KNIME Analytics Platform version 5.2.5
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.4

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime

This component does not have nodes, extensions, nested components and related workflows

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By using or downloading the component, you agree to our terms and conditions.

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