Hub
Pricing About
ComponentComponent

TD_UNNORMALIZE

Teradata Team profile image
Draft Latest edits on 
Mar 28, 2024 5:15 PM
Drag & drop
Like
Use or download
The TD_UNNORMALIZE function is the sister-function for the TD_SEASONALNORMALIZE function. It provides the data scientist with the ability to “undo” the seasonal normalization which was done during the stationary processing phase of the forecast modelling flow. The TD_UNNORMALIZE is typically used during the forecasting phase of the modelling flow.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Input
    The first input should be SERIES_SPEC wavelets that contains the wavelets of data to be unnormalized
  3. Type: Table
    Input2
    The second input is either a SERIES_SPEC or an ART_SPEC which contains the pairs needed to unnormalize the first input SERIES wavelets.
Output ports
  1. Type: Table
    output of TD_UNNORMALIZE
    output of TD_UNNORMALIZE

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    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

Legal

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

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits