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.

Nodes

• String Configuration4 ×
• Python Script2 ×
• Single Selection Configuration2 ×
• Boolean Configuration1 ×
• Component Input1 ×
• Component Output1 ×
• DB Data Spec Extractor1 ×
• DB SQL Executor (Labs)1 ×
• DB Table Remover (Labs)1 ×
• DB Table Selector (Labs)1 ×
• Merge Variables1 ×
• Transpose1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

Links

• No links available