- Type: PythonPort 0Python pickle object which can be used to normalize the columns based on the parameters used in the twin Component Python Transform.
- Type: TablePort 1Input data with all the columns that were used in the twin Component Python Transform.
This Component transforms values of the columns to normalized values by using the pickled object provided at input. This Component has to be used along with the twin Component Python Transform. This Component outputs the standalone normalised values or appends them with Suffix to the original columns based on the selection in the configuration panel. DATA INPUT REQUIREMENTS - The input data should have numerical columns that were used in the twin Component Python Transform. - The Python Pickled Object from the twin Component Python Transform.
- Type: TablePort 0Standalone Transformed columns or with added Suffix, as per the option selected in the Configuration panel.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.2
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