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Label Encoder VAL

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Mar 28, 2024 5:15 PM
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Label encoding a categorical data column is done to re-express existing values of a column (variable) into a new coding scheme or to correct data quality problems and focus an analysis of a particular value. It allows for mapping individual values, NULL values, or any number of remaining values (ELSE option) to a new value, a NULL value or the same value. When the delay query is off, the input table be transformed immediately otherwise the result should be combined with other transformations and fed into a final Transform function.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Label Encoder Input dataset
    The dataset containing the raw information that we will perform a Label Encoder VALIB function call
Output ports
  1. Type: Table
    Label Encoder VAL output
    Label Encoder VAL output

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime

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

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