TD_​UNNORMALIZE

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.

Options

FIELDS (integers seperated by new line)
If FIELDS is not specified, all payload fields of the first input needs to be unnormalized. If it is specified, only the payload fields in the list are unnormalized.The integer values should be 0 or positive values. The payload field indexes start from 1.
InputFormat
Specifies the input mode supported by the function.
OutputFormat
Specifies the INDEX_STYLE of the output format.
Output Schema
Output Schema, if Volatile is true then use user login as the schema.
Output Table
Output Table
VAL Location
VAL Location
Volatile
Specifies whether the table should be a VOLATILE table. If true, then the table is automatically deleted, otherwise it is users responsibility to remove or clean it up for space.

Input Ports

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Connection to a Teradata Database Instance
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The first input should be SERIES_SPEC wavelets that contains the wavelets of data to be unnormalized
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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

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output of TD_UNNORMALIZE

Nodes

Extensions

Links

Download

To use this component in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2023-12-01
Last update: 2024-05-02
Created with KNIME version: v4.7.0

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