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Principal Component Analysis Predict VAL

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Mar 28, 2024 5:15 PM
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The Predict function generates PCA scores using the model created by PCA VALIB function. The scoring process expresses each component as a linear combination of the input columns. There is an additional required input table that specifies the model used by the VALIB PCA function.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Principal Component Analysis Predict VAL input
    Principal Component Analysis Predict VAL input
  3. Type: Table
    Principal Component Analysis
    Principal Component Analysis Predict VAL input
Output ports
  1. Type: Table
    Principal Component Analysis Predict VAL output
    Principal Component Analysis Predict 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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