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Python Transform (Apply)

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Versionv1.0Latest, created on 
Oct 20, 2023 1:29 PM
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This Component transforms values of the columns to normalized values by using the pickled object provided at input. This Component has to be used along with the twin Component Python Transform. This Component outputs the standalone normalised values or appends them with Suffix to the original columns based on the selection in the configuration panel. DATA INPUT REQUIREMENTS - The input data should have numerical columns that were used in the twin Component Python Transform. - The Python Pickled Object from the twin Component Python Transform.

Component details

Input ports
  1. Type: Python
    Port 0
    Python pickle object which can be used to normalize the columns based on the parameters used in the twin Component Python Transform.
  2. Type: Table
    Port 1
    Input data with all the columns that were used in the twin Component Python Transform.
Output ports
  1. Type: Table
    Port 0
    Standalone Transformed columns or with added Suffix, as per the option selected in the Configuration panel.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.2
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.2

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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.3.2

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    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.2

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    knime

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

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