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TD_ARIMAVALIDATE

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Draft Latest edits on 
Mar 28, 2024 5:15 PM
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The TD_ARIMAVALIDATE function first performs an “In-Sample” forecast, followed by an analysis of the produced residuals. The aim of this analysis is to provide the data scientist with a collection of metrics which are useful for model selection and expose the produced residuals, such that a number of model validation statistical tests can be conducted.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Input
    Passed in an art table in ART_SPEC without specifying layer
Output ports
  1. Type: Table
    output of TD_ARIMAVALIDATE
    output of TD_ARIMAVALIDATE

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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